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JOB DESCRIPTION Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Senior Associate in LLM Suite Engineering, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience in Infrastructure as code (IAC) such as Terraform or equivalent Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages. Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures

AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details

Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details

Transform9 is redefining healthcare communication by developing a groundbreaking conversational agent platform that enhances the interactions between patients and their healthcare providers. Our commitment to improving patient access to care drives us to innovate continuously and create exceptional technology solutions. We are currently seeking a Senior Software Engineer to join our talented engineering team. In this role, you will be responsible for designing, developing, and maintaining critical components of our platform. You will work closely with cross functional teams to deliver high quality software that meets user needs and aligns with our strategic goals. Bring your expertise and passion for technology to help us transform healthcare access! Responsibilities Design and implement scalable and maintainable software solutions for our conversational agent platform. Collaborate with product managers, designers, and other engineers to define system architecture and functional requirements. Write clean, efficient, and well documented code, adhering to industry best practices and coding standards. Participate in code reviews, offering constructive feedback and promoting engineering excellence within the team. Troubleshoot and debug applications, resolving issues in a timely manner to ensure optimal system performance. Stay current with emerging technologies and industry trends, applying relevant advancements to improve our platform. Mentor junior engineers, providing guidance on technical challenges and career development. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 5+ years of professional software engineering experience, with a focus on developing scalable applications. Strong proficiency in programming languages such as Java, Python, or JavaScript, along with familiarity with frameworks relevant to our platform. Solid understanding of software development methodologies, including Agile and DevOps practices. Experience with cloud services (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes). Excellent problem solving skills and the ability to troubleshoot complex technical issues. Strong communication and collaboration skills to work effectively within a team oriented environment. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development Free Food & Snacks

Are you interested in joining a business that is redefining an industry and launching products that help cement the place of our private hire/taxi operator customers in a global marketplace? ABOUT US We are Autocab, a leading taxi & private hire booking and dispatch software provider, offering innovative solutions to help businesses go further. We do this by creating award winning software and working with our customers and employees to produce solutions that work. We're a passionate bunch who challenge the ordinary and believe in working collaboratively to develop our expertise. Go Further. It's more than just our motto; it is ingrained into the way we work. It is what we strive for as a business and what we expect for our employees and customers. ABOUT THE ROLE We are looking for a Lead Architect to join us and help build an integrated architectural function in Autocab. The focus is initially on technical design but will grow to work functionally with and on solutions for the wider business as Autocab continues to grow in a global marketplace. As Autocab continues to scale and modernises its core platform there is a need to grow and expand the architectural design and governance of the platform. With complexity comes the need to define, design and work with the Software Engineers on delivery to ensure the platform is fit for the future and is scalable today. As the team grows so will the architectural function, which you will lead, working in a matrix management way - where the role will lead a community of practice in architecture with the team embedded in the Product teams. JOB REQUIREMENTS What does the opportunity look like day to day? Part of the Engineering Team: The first task is to drive the design for the next generation of the relevant parts of our platform. This means moving parts of the platform's functionality from the existing hosting mechanism to a new more modern architecture. Then, continue to guide the Product & Engineering teams in making appropriate architectural and technical decisions and trade offs. Our platform will never stand still and often will be changed to meet a dynamic and changing marketplace. You will be involved in discussions to meet the functional and non functional expectations, whilst ensuring best practice and security is built in. Our cloud vendor is Azure, and our technology is mainly Microsoft based, but we should ensure the right tools are used for the job and the choices avoid any cul de sacs and dead ends. Finally, you will contribute to governance frameworks and form (and then maintain) high quality architectural documentation across the Architecture Repository. Stakeholder management: Autocab delivers products and bespoke solutions to taxi companies around the world. Often this involves 3rd parties as we integrate to build a connected taxi and ground transportation system. What you will bring to the team: Experience with delivering end to end technical projects within a complex multi customer environment. Practical experience of Agile delivery. Practical experience of modernising Products and their technical estate. Awareness of the latest Software and Cloud engineering practices. You're comfortable working with a mixed estate, where not all products are at the same point in their lifecycle. You're an effective coach and mentor, able to guide and support teams in varied scenarios to raise performance standards across the organisation. You thrive in a CI/CD environment and embrace a 'build it, you run it' culture, promoting ownership, accountability, and quality. We believe in guardrails for safety, but not to stifle creativity, meaning we're engaged with the engineering teams and will evolve with them. No ivory towers here. You bring strong software delivery experience, with a proven track record of delivering high quality, reliable, and market leading software. You're skilled in stakeholder management at all levels - providing clear, honest communication about where things stand, not just where you want them to be. You make pragmatic decisions, balancing ambition and realism while managing risk and mitigation effectively. You have a collaborative and coaching mindset, fostering teamwork, empowerment and professional growth across the delivery and business analysis functions. Excellent organisational, analytical and problem solving skills. WHAT WE CAN OFFER YOU CORE WORKING HOURS 9am - 5pm, Monday - Friday Hybrid working model - our collab days are Wednesdays, Thursdays and alternate Tuesdays BENEFITS From day one: 25 days' holiday (plus bank holidays) per annum Life Assurance - 24/7 life cover, 2x your basic salary Monthly Uber Eats vouchers 24/7 confidential Employee Assistance Programme Office social area, which includes pool, foosball, and table tennis tables Access to which provides virtual GP, physio and mental health support services Free breakfast on office days Bonusly reward and recognition platform Company pension scheme with Royal London After passing probation: Medical insurance with Vitality and subsidised travel scheme to commute into the office L&D Scheme to offer further qualifications, courses and training Work from Anywhere scheme - Up to 4 weeks available per annum to work from anywhere in the world Enhanced leave policies including family leave and sickness leave ABOUT OUR VALUES We have five core values which we live and breathe by. These go way beyond a list; they're baked into the fabric of our interactions and are used to drive growth across our business. You will need to: Be customer centric; putting customers first, valuing their opinions and listening to their feedback. Adopt a collaborative approach to working; have strong team working and listening skills to help yourself, your team, and Autocab. Have a flexible approach to your work; have an adaptable mindset, be proactive problem solver and think outside the box. Have a passionate and personable nature; be creative and confident in your work. Comfortable with building rapport with customers and the team. Have a straight up style of communication by being transparent, honest and clear in everything you do. If you are looking for a new challenge and keen to make a difference, come and join the Autocab team. For information on how we handle and protect your personal data, please review our Candidate Privacy Notice here.

About you You'll be joining the Team Manul in the Infrastructure Cluster as a Payment Specialist. Reporting to an Engineering Manager, working alongside other expert and senior payment specialist, you'll be a part of a fast-growing business that is challenging the market and doing things differently. We are seeking a dedicated Swift Payment Specialist to join our team. The successful candidate will work with the Swift software to guarantee connectivity to payment flow and will own the lifecycle of the on-premises and cloud resources that power our payment gateway for Swift. Additionally, they will help maintain the smooth running of the software whilst ensuring compliance with accreditations, attestations, and scheme requirements. And you'll be joining one of the fastest-growing tech companies in the UK, according to Deloitte Fast 50. You will be Ensuring seamless connectivity to payment flow using Swift software. Manage the lifecycle of on-premises and cloud resources for the Swift payment gateway. Maintain the smooth operation of the Swift software. Ensure compliance with relevant accreditations, attestations, and scheme requirements. What we are looking for Technical fluency in scripting and infrastructure: PowerShell or Bash, some form of planning tool (we use Azure DevOps), and familiarity with Linux or Windows environments Incident management and troubleshooting experience: Ability to resolve outages and performance issues swiftly whilst maintaining a good level of communication Understanding of financial compliance and security: Including encryption, signing, and regulatory standards Understanding of message routing Desirable skills and experience, nice to have but not essential Experience with SWIFT Alliance product suite (SAA, SAG, SNL, etc) SWIFT Project Management exposure (SWIFT Standards, Attestations, general CTB work) SWIFT Payment knowledge A little bit more about us! ClearBank is Where You Can belong: At ClearBank we think about Diversity, Equity and Inclusion (DE&I) a lot. Not because we think we should. But because we know we should - how else can we build a happy workforce and be successful as a business. We're committed to making sure our teams reflect society. And we put energy and effort into making this a place where everyone feels at home, where they're given the trust and encouragement to do their very best work. Here are some of the things we're most proud of: 42% of our senior management roles are held by women Our enhanced family leave policies Launching our partnership with Code First Girls Increasing awareness of neurodiversity in the workplace through our partnership with the Inclusive Group Our hiring process and what you can expect: Application: a member of our talent acquisition team will review your application against the key requirements for the role and let you know within two weeks whether you're moving forward to the next stage; Screening: You'll spend 30-45 minutes speaking to one of our recruiters learning more about the role and ClearBank, and we'll get it know more about you, your experience and how your skills align with the role (this will be via phone or Teams video call). You can expect to hear back from us within seven days following this meeting (if things are taking longer than expected, we'll let you know that too); First Interview: You'll spend one hour with a member of our hiring team focusing on your skills, competencies and your ways of working at the same time we'll give you time to ask more questions about the role, the team and learn more about the ClearBank culture. This will be via Teams. Second Interview: This will be a competency-based interview with one or more members of our team. Final Stage: You will have a final meeting with the Head of Department. This will be around 45-60 minutes. Offer: Congratulations! Get ready to transform banking forever! Our commitment to you as a candidate: We will always try our best to get back to you within seven days of your interview whether you've been successful or not and provide you with feedback. Sometimes things take a little longer, so we may not have a decision to share but we will get it touch to let you know we need a little more time. We're unable to provide specific individual feedback at the application or screening stage but know that your application was reviewed and considered carefully. We wish you the best of luck with your application and maybe we'll be celebrating your new role at ClearBank soon! Equal Opportunities ClearBank is committed to ensuring equal opportunities throughout every stage of the recruitment process. ClearBank recognises that diversity is vital to the long-term success of the business in the communities and markets in which it operates. ClearBank is also a firm believer that an inclusive culture fosters greater employee engagement and collaboration. ClearBank strives for diversity and inclusion of all forms, including (but not limited to): gender, age, educational and professional background, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief and sexual orientation. As part of the Company's commitment to equal employment opportunity, we provide reasonable adjustments, to candidates during the recruitment process, including to individuals with disabilities. We want to create a safe space that welcomes everyone so please let us know how we can accommodate you. In case you have any accessibility requirements you can share that with our Talent Acquisition team prior to your interview stage, if applicable. The legal bit By submitting your CV to ClearBank Limited you are providing your consent for us to use the information you provide for recruitment purposes. For more information on how we manage your data go and check out our Candidate Privacy Notice on the ClearBank website to see how we process, manage and look after your data. You are also allowing us to communicate with you by email and telephone for recruitment purposes.

JOB DESCRIPTION Help shape how intelligent systems are built and delivered at the company. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US the company, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Job Summary Wellington IT is a leading provider of Credit Union software in Northern Ireland and Ireland, delivering fintech solutions that power savings, loans, online banking, and more. As part of Volaris, we focus on growth and continuous improvement. Position Overview Technical Lead - responsible for driving technical excellence, leading AI assisted development, and guiding a delivery team toward pod based models. Key Responsibilities Lead technical direction for the delivery team, championing AI assisted workflows and spec driven approaches. Guide engineers in leveraging AI coding assistants such as GitHub Copilot, Amazon Q Developer, Cursor, and others to improve productivity and code quality. Establish standards and best practices for AI native development, including prompt engineering, code generation review, and QA. Keep up with industry best practices in fintech and AI, assessing technology choices for impact on the team. Provide hands on technical contributions while balancing leadership duties. Line manage 4-5 engineers - conduct 1:1s, give performance feedback, and support career development. Mentor engineers using coaching to foster solutions, identify improvement areas, and maintain team morale. Drive adoption of pod based delivery practices and collaborate with Product Owners and Scrum Masters to keep the team aligned with company goals. Prioritise work, balance feature delivery with technical debt and support, and ensure sustainable pace. Communicate project status, blockers, and delivery estimates to stakeholders, translating technical impact into business value. Qualifications Proven experience as a Technical Lead or Senior Software Engineer with leadership responsibilities. Hands on technical skills across fintech/banking technologies. Experience with AI coding assistants (GitHub Copilot, Amazon Q, Cursor, etc.) in production. Track record of implementing spec driven development and AI assisted workflows. Experience mentoring and coaching engineers. Agile/scrum delivery experience with Product Owners and stakeholders. Strong communication skills - able to explain complex concepts to non technical audiences. Experience estimating and delivering work in iterative cycles. Problem solving, architectural thinking, and strong analytical skills. Desired Skills Oracle, Java/C#, or modern web stack familiarity. Background in financial services or regulated industries. CI/CD, DevOps, and modern tooling. Experience with pod based delivery models. Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGen) and prompt engineering. Cloud platform experience (AWS or Azure) and modern application architectures. Benefits Competitive base salary and bonus scheme. Annual leave (36 days + birthday off). Training and development. Market leading pension (15% matched). Private healthcare (AXA, UK). Enhanced maternity leave. Remote/hybrid work flexibility, flexible start and finish times. Family related benefits and wellness initiatives. EEO Statement Wellington IT is an equal opportunity employer. We do not discriminate on the basis of age, race, color, creed, national origin, gender, gender identity, gender expression, disability, marital status, veteran status, citizenship, ethnicity, familial status, religion, sexual orientation, or any other protected class.

We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Lead AI Engineer - Workday ProductsApplylocations: Belfast: Gdansk: Derry-Londonderry: Homeworker - Poland: Homeworker - UKtime type: Full timeposted on: Posted Todayjob requisition id: JR\_17949# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

United States Digital Space LLC is seeking an Applied AI ML Engineer to contribute to the LLM Suite platform, focusing on building secure and reliable AI/ML capabilities. You will collaborate closely with senior engineers and engage in design discussions, developing high-quality production code and troubleshooting software solutions. This position requires a computer science degree and hands-on experience with system design, application development, and operational stability. The role involves building AI/ML systems using Azure and AWS, while fostering teamwork through feedback and collaboration.

Summary Being part of Avanade's Integrated Centre of Excellence (ICOE) global team is truly rewarding-you get to collaborate with the best minds in the industry, exchange innovative ideas, and tackle challenges together on a worldwide scale. Every day offers the excitement of learning from top talent and contributing to projects that make a real impact. The sense of camaraderie and shared expertise fuels personal and professional growth, making every achievement even more meaningful and motivating. We are seeking an experienced individual with knowledge in solutioning and implementing integrated Copilot, Copilot Studios and Azure AI solutions within Microsoft 365 and the Power Platform. Skilled in environment preparation, licensing, and rollout planning, with strong capabilities in configuring secure access and permissions. Adept at developing and delivering training and onboarding materials for users and stakeholders. Proficient in setting up custom agents and workflows in Copilot Studio, connecting to both internal and third party systems. Track and analyse adoption metrics, provide ongoing support, and contribute to change management and user engagement initiatives. Experienced in extending Copilot features through Power Automate, Power Apps, and Dataverse. Responsibilities Design end to end solutions that integrate Copilot with the existing Microsoft 365 environment (SharePoint Online, Teams, OneDrive) and the Power Platform (Power Apps, Power Automate, Dataverse). Lead the end to end implementation of Microsoft Copilot solutions, including environment readiness, licensing, and rollout planning. Configure access, permissions, and security settings to ensure compliant and secure use of Copilot features. Help design and deliver training programs, onboarding materials, and enablement sessions for end users and champions. Support prompt engineering and orchestration using Copilot Studio, including the creation of custom agents and workflows. Design Microsoft Copilot Studio solutions to build, customise, and orchestrate custom agents and workflows that address specific business needs by connecting to internal and third party data sources and APIs. Monitor adoption metrics, gather user feedback, and iterate on deployment strategies to maximise value. Design or integrate Copilot with Power Platform tools (Power Automate, Power Apps, Dataverse) to extend functionality. Provide post deployment support and troubleshooting for Copilot related issues. Contribute to change management initiatives and help drive cultural adoption of AI powered tools. Skills & Experiences Microsoft 365 Copilot Deployment Experience - Proven track record of implementing Copilot and Copilot Studio across enterprise environments. Licensing & Provisioning Expertise - Familiarity with Microsoft licensing models, provisioning tools, and tenant level configuration. Security & Permissions Configuration - Understanding of Microsoft Entra ID, RBAC, sensitivity labels, and Purview compliance. Prompt Engineering & Agent Setup - Experience with Copilot Studio, prompt orchestration, and agent lifecycle management. Training & Enablement Delivery - Ability to create and deliver engaging training programs using Microsoft's Copilot Success Kit. Change Management & Adoption Strategy - Experience leading adoption initiatives and building user engagement programs. Monitoring & Feedback Analysis - Skilled in using Microsoft 365 admin tools to track usage, adoption, and performance. Business Process Alignment - Ability to tailor Copilot solutions to specific business functions and workflows. Power Platform Integration - Experience integrating Copilot with Power Automate, Power Apps, and Dataverse. Strong Communication & Collaboration - Excellent stakeholder engagement skills and ability to work across technical and non technical teams. Functional Knowledge and/or Certification(s) with Databricks Data Analysis, Data Engineering or GenAI Engineering. 5+ years of experience in Microsoft 365 implementation or related consulting roles. Hands on experience with Microsoft Copilot, Copilot Studio, and Azure OpenAI is highly desirable. Microsoft certifications (e.g., MS 102, PL 600, AI 102, AB 100) are an asset. About Avanade At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together, we do what matters.

Principal Infrastructure Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision-making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 160 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest-growing engineering businesses. Technical Leadership in Infrastructure & Applications As part of this journey, we are scaling our Infrastructure & Applications capability. This function builds intelligent, resilient, and private solutions from the cloud to the far-edge, ensuring robust and secure operations for our clients. As a Principal Infrastructure Engineer, you will act as a senior technical authority across Rowden's portfolio of projects, products, tools, and systems - including those relied upon by hundreds of deployed users and critical internal capabilities. You will collaborate closely with engineers, delivery teams, and customers, tackling complex technology challenges in demanding environments. This role is hands on, fast paced, and impact driven. You will provide technical leadership through architectural decision making, system design, and deep engineering expertise, guiding teams through uncertainty and enabling the delivery of robust, mission focused solutions. For the right person, this is an exceptional opportunity to shape infrastructure platforms and engineering standards in a growing, high trust organisation. You will bring broad, applicable knowledge across domains including workload virtualisation, cloud infrastructure, Linux operating systems, advanced networking concepts, and hyper converged infrastructure (HCI). Experience with high availability systems, fault tolerant architectures, and software defined networking (e.g. SD WAN) is highly valuable. Strong troubleshooting skills, clear communication with technical and non technical stakeholders, and the ability to decompose complex systems into manageable technical workstreams are essential. While this role offers hybrid working options, it requires a minimum of 3 days per week on site at our Bristol HQ, with occasional travel to customer sites. Candidates must be willing to obtain UK National Security Vetting clearance, with SC required and DV desirable. More information about security clearance is available here: Key areas of responsibility As a Principal Infrastructure Engineer at Rowden, you will be responsible for: Owning and assuring infrastructure architecture and design, ensuring privacy, security, compliance, high availability, performance, and resilience across all infrastructure capabilities, including cloud environments, applications, and security and service platforms. Scoping and shaping complex infrastructure initiatives, providing technical leadership during context alignment, architectural decision making, and execution to deliver solutions that meet demanding operational and regulatory requirements. Acting as a key technical decision maker, balancing trade offs, managing risk, and ensuring long term maintainability and platform health across interconnected systems. Designing, developing, and deploying infrastructure components such as networks, virtual machines, containers, and orchestration workflows, acting as a hands on technical leader and setting best practice patterns for others to follow. Producing high quality system diagrams, documentation, and design artefacts, maintaining high standards of accuracy, clarity, and diligence. Maintaining and optimising infrastructure platforms, including configuration management, system upgrades, and the implementation of infrastructure as code (IaC) practices to ensure consistency and scalability. Implementing and evolving monitoring, logging, and alerting capabilities to provide real time system insight, enable proactive issue detection, and optimise uptime. Developing and standardising secure build processes for end user devices, ensuring consistent integration with public, private, and hybrid cloud infrastructure, supported by clear documentation and reusable workflows. Championing modern Agile and DevOps practices, influencing ways of working across teams, improving feedback loops, and raising the quality and predictability of infrastructure delivery. Mentoring and coaching engineers across the organisation, providing technical guidance, review, and example to support professional growth and improve overall engineering capability. Key skills, experience and behaviours We are looking for someone passionate about technology who actively invests in their technical skills and abilities alongside: A degree or equivalent experience in computer science, IT, or a related discipline. Proven ability to provide technical leadership and influence engineering direction, operating autonomously in complex and ambiguous environments. Extensive experience as an infrastructure engineer, with strong understanding of networking, operating systems, cloud platforms, and virtualisation technologies. Experience with scripting and automation (e.g. Python, Bash) and tools such as Ansible, Terraform, or similar, with a strong preference for infrastructure as code practices. Demonstrated experience adopting and promoting Agile and DevOps practices to improve collaboration, delivery quality, and operational outcomes. Strong ability to decompose complex systems into clear technical workstreams, enabling engineers at all levels to contribute effectively. Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts clearly to a range of stakeholders. Highly Desirable Experience Experience delivering complex, connected systems in regulated sectors such as defence, national security, telecommunications, financial services, or automotive. Designing, deploying, and supporting solutions at the far edge in denied, disrupted, intermittent, or lossy communication environments. Building and maintaining secure application deployments on AWS, Azure, or GCloud. Background experience in IT support or operational environments. Key Attributes Problem solver: Able to troubleshoot and resolve complex issues pragmatically and efficiently. Systems thinker: Comfortable reasoning about large scale, interconnected systems and balancing short term delivery with long term platform health. Detail oriented: Maintains high standards and adherence to best practices. Adaptable and self motivated: Learns quickly and continuously develops technical capability. Technical mentor: Develops engineers through guidance, review, and example rather than formal management. Collaborative: Works effectively across disciplines, sharing knowledge openly. Continuous improvement mindset: Proactively identifies opportunities to improve systems, processes, and ways of working. Agile mindset: Applies Agile principles pragmatically, facilitating alignment, prioritisation, and collaboration. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!

How will you make an impact? Software Development: Design and develop scalable, high-quality web applications Contribute to both front-end and back-end development Write clean, maintainable, and well-structured code following best practices Test Automation (Playwright Focus): Design, implement, and maintain end-to-end tests using Playwright Work alongside feature development to ensure testability is built in from the start Increase and maintain meaningful code coverage across applications Identify areas of risk and improve test reliability and coverage gaps Code Quality & Best Practice: Promote and apply TDD and automated testing principles Ensure code is reliable, testable, and aligned with SOLID principles Support improvements to testing frameworks, standards, and processes Team Collaboration & Knowledge Sharing: Work closely with engineers, designers, and stakeholders to deliver features Support and upskill the team in Playwright and automated testing techniques Share best practices through pairing, reviews, and informal sessions Contribute to building a quality-first engineering culture CI/CD & Tooling: Integrate automated tests into CI/CD pipelines Help improve test execution, reporting, and feedback loops Use tools such as Git and Azure DevOps (or similar) to manage delivery How will you experience success with us Strong experience with Playwright for end-to-end testing Proven track record of improving test coverage and evolving automation frameworks Solid software development background with: JavaScript / TypeScript Angular (or similar front-end frameworks) REST APIs C#, MVC, Python SQL / T-SQL Experience with unit testing, integration testing, and Test-Driven Development (TDD) Strong understanding of test architecture and maintainable test design Experience integrating automated tests into CI/CD pipelines Experience with code versioning tools such as Git and Azure DevOps (or similar) Knowledge of SOLID principles and common design patterns Familiarity with cloud platforms such as AWS, including messaging and deployment concepts Knowledge of Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation, or Terraform Awareness of security and data protection best practices How do we keep you smiling We are a great team at HQ, you will work alongside some of the most passionate people about Watches and technology We have a generous benefits scheme, including discounts and healthcare packages The chance to join aboard a business that is taking strides to introduce our product globally Sociable, friendly team! Your journey with us Our aim is to provide you a transparent interview process from the moment you apply for the role. It's important for us that you get to know us to ensure the role aligns to your future career objectives. We provide all candidates with open-door access to key people across the business so they can discuss opportunities, get a feel for our culture, and better understand how they can make an impact and be part of Watchfinder's exciting trajectory. Interview Process 1st Stage: A 'Let's Chat' conversation Initially, when your application is selected, you will receive an introduction call to explain the main points in terms of this position, and to have a chance to showcase your motivation. 2nd Stage: Interview with our Software Development Team Lead and QA Team Lead Final Stage: Meet with Software Development Manager and HR Business Partner Why work for Watchfinder? Firstly, what makes Watchfinder a great place to work is the people! Whether that be within your immediate team or across other areas of the business, there really is a family feel across the whole company. If personal growth and development is high on your priority list, then Watchfinder is the place for you. We've had numerous success stories throughout the business of our staff furthering and developing their careers, proving to be integral contributors to the company. To be part of this exciting journey, apply now!