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We're seeking a Lead Infrastructure Engineer covering designing, building and maintaining robust, resilient and scalable infrastructure automation systems. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Cloud and Infrastructure Engineering position at Vice President level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively. What you'll do in the role: Design, implement and support new infrastructure solutions to enable our algorithmic trading business to operate in an efficient, effective and compliant manner. Collaborate closely with business-facing development groups, system administrators and enterprise infrastructure engineers to implement and maintain appropriate solutions to reduce costs and manage technology risk for our business. Act as a subject matter expert for our Linux-based electronic trading infrastructure platform. Mentor, coach and lead less experienced engineers. Provide technical leadership and vision for a small business-aligned team of engineers and SREs. Drive the continuous improvement of our infrastructure and working practices through regular reviews, blameless post-mortems and other SRE techniques. What you'll bring to the role: Advanced knowledge of the Python programming language and standard software engineering concepts such as common data structures, regular expressions, object-oriented programming, and advanced algorithms. Strong understanding of core Unix components - networking stack, daemon configuration, OS customisation. Experience with architecting large scale, robust, resilient and scalable systems. Domain expertise in infrastructure automation and integration. The ability to describe algorithmic and architectural trade-offs in an algebraic or quantitative fashion. Comfortable developing in a Linux and CLI-based environment. Knowledge of standard Linux command line debugging tools such as tcpdump and strace. Familiarity with modern development tools and practices including agentic-workflows, git, jenkins, test-driven development, and continuous integration. Can take full-lifecycle ownership of components within a project, from initial architecture design to ongoing support. A proven track record of technical leadership, able to work independently on both technical problems as well as customer interactions. Familiarity with the Go programming language would also be useful. Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement: Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:

The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK's digital, data and technology landscape. The role supports JCDecaux UK's vision and mission by using advanced AI to pioneer real world communications and enhance client and consumer understanding. Reports to: Chief Innovation and Technology Officer What you'll be doing Design and implement AI copilots and agentic AI solutions that assist users, automate multi step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end to end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps). Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices. Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large scale processing using big data frameworks. Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency. Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery. Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments. Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business. A little bit about you Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. Hands on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI based copilots, custom AI assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross functional delivery teams. Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search). We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

The Opportunity It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of thousands of people - not by picking up tickets, but by building the engine that gets more people into transformative learning, faster. The Mission Multiverse is reshaping the future of workforce development. Growth at Multiverse is a product problem, not a marketing problem - and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products, and play a central role in delivering scalable, user-focused learner experiences across the platform. The Product Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won't be handed a spec - you'll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you'll be expected to own that connection from design through to deployment. The Team You will be joining a high growth, high impact cross functional tribe spanning product, engineering, design, and AI innovation. We foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex scaling challenges. The Challenge You will tackle bold problems to drive our scaling efforts: Activate Learners: Build AI driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to engage, and where they need support. Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace, context, and need. Scale Systems: Operationalise AI generated content at scale across our end to end messaging systems - defining the guardrails that ensure output feels relevant and human. Ship Code: Deliver high quality architecture and write production code across our core stack: AWS, React, and TypeScript. AI Fluency This role sits at the intersection of AI and product. We don't treat AI as an add on or an experiment - it is our engine. We expect you to be a practitioner: You use AI assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow - to accelerate velocity, raise code quality, and explore solution space faster. You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something production worthy. You've worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes - hallucination, latency, cost, and user trust. You bring a product builder's instinct to AI features: you're asking "does this actually help the user?" not just "does this technically work?" Your Impact As a Senior Software Engineer, your mastery drives direct business outcomes. We expect you to: Execute as an Owner: Independently lead initiatives from design to deployment. Avoid over or under building - arrive at implementations that solve the problem, deliver customer value, and scale. Elevate Technical Excellence: Zero tolerance for user issues. Launch bug free systems with proactive monitoring and instrumentation built in from day one. Scale Simplicity: Identify and manage technical debt, leaving the codebase cleaner than you found it. Understand a problem with multiple solutions, consider trade offs, and settle on the most suitable design before building. Multiply Your Team: Help less experienced engineers grow through mentoring, pairing, and code reviews. Proactively unblock peers. Embrace High Agency: Thrive in our re teaming environment - collaborate across functions, adapt to shifting priorities, and bring an owner's mindset to ambiguous challenges. Communicate Clearly: Inspire confidence when presenting complex technical concepts to both technical and non technical stakeholders. Take Initiative: Pull up a chair in discovery. Work alongside product and design to shape the problem before the solution is fixed. Name bottlenecks early and act on them. Stay Metric Obsessed: Track and understand product and engineering metrics alike - and always connect them to the business result they ladder up to. Grow Continuously: Treat setbacks as a signal, not a failure. Make calls without perfect data, change direction when new information arrives, and see the current state as a starting point. Operating Principles in Action We evaluate and drive performance through our BAM framework (Behaviours, Achievement, Mastery): Solve for Customer Value: Every decision starts with: "How does this create value for our paying customers?" Prioritise work that directly benefits the learner over internal convenience or habit. Drivers, Not Passengers: Own outcomes. Don't wait for permission to fix a problem - lead the solution, take others with you. Be Decisive, Even in Ambiguity: Launch imperfect solutions, test, learn, and course correct quickly. Don't let fear of the wrong call stall progress. AI to Deliver Outcomes: AI is your co author, not a shortcut. Use it to go faster and build better - but direct it deliberately, challenge its output, and hold the quality bar. Interview Process Initial Screen: A brief conversation about your background, achievements, and impact. AI Assisted Technical: A coding and system design exercise where you use AI tools to build. We assess how you direct, evaluate, and iterate on AI output - not just whether you can use it. We then deep dive into your technical mastery and architectural thinking. Architecture & Behaviours: How you live our Operating Principles - ownership, decisiveness, and how you bring others along. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year. Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support. Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month. Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year. Space to connect: Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. 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, 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.

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a £7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-pound decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Platform team Platform at hx builds the foundation that enables engineering teams to ship secure, scalable applications at velocity. We're evolving towards an AI-first platform where self-service infrastructure, intelligent automation, and reusable components compound developer productivity and operational excellence. This isn't about maintaining the status quo; we're reimagining how modern software delivery works. As the Staff Platform Engineer, you will own the technical direction of this evolution. You will define the architecture and engineering standards that others build to, drive coherence across teams, and ensure the platform strategy is aligned to long-term business outcomes. You will shape how AI-first, self-service infrastructure is done at scale, not just by delivering capabilities yourself, but by creating the conditions for engineering teams across the organisation to move faster, more safely, and more autonomously. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Establish a coherent 12-18 month technical direction for the platform, with clearly articulated trade offs, milestones, and alignment across engineering leadership. The roadmap is understood, trusted, and actively referenced by stakeholders. Platform capabilities are adopted broadly across engineering, not because teams are told to use them, but because they are well designed, well documented, and genuinely reduce friction. Measurable reduction in Platform as a bottleneck for common provisioning and deployment tasks. Define the architectural patterns and standards that enable autonomous and AI augmented workflows across the organisation. Other engineers can build AI native capabilities without requiring Platform's direct involvement in every initiative. Platform defined standards for security, reliability, and operational excellence are embedded into how all teams build not enforced through gatekeeping, but adopted because they are the path of least resistance. Measurable reduction in misconfiguration, security exceptions, and operational incidents across the estate. Senior engineers are visibly stronger for having worked alongside you. The team develops better instincts for architecture, trade offs, and platform thinking. You are sought out as a technical authority. What you'll need to have done Defined the architecture, standards, and patterns for the platform domain over a multi quarter horizon. Makes high judgement calls on foundational trade offs such as build vs buy, depth vs breadth, short term pragmatism vs long term coherence and brings the organisation along on those decisions. Navigating disagreement across senior engineers, architects, and stakeholders to reach durable technical decisions. Comfortable holding a position under pressure, updating it when presented with better evidence, and ensuring decisions stick once made. Accountability for outcomes that span multiple teams and that they do not personally deliver. Designs systems, standards, and enablement approaches that multiply the effectiveness of the engineers around them, rather than being the primary hands on contributor to every initiative. Defined how AI and automation are embedded into the platform at an architectural level not just experimenting with tools, but establishing patterns that make AI augmented workflows the default for engineering teams across the organisation. Understanding of the adoption dynamics, internal customer needs, and the systemic barriers to self service. Shapes the platform roadmap based on feedback, usage data, and a clear eyed view of where friction exists and ensures the platform earns its adoption rather than mandating it. Identified architectural, security, and operational risks before they become incidents. Influences how the broader engineering organisation thinks about reliability, security posture, and cost efficiency not just within Platform's direct remit. Connecting platform decisions to business outcomes clearly and credibly. Can represent the platform strategy to senior leadership, translate engineering constraints into business language, and use commercial context to sharpen technical priorities. Actively developing senior engineers through technical challenge, honest feedback, and deliberate exposure to harder problems. Recognised as someone who raises the capability of the team, not just the quality of the code. Models the engineering culture the organisation is trying to build. You're unlikely to thrive here if You prefer executing predefined tasks over taking ownership of ambiguous problems that require exploration, experimentation, and iteration to solve. You view platform engineering as building infrastructure in isolation rather than treating it as a product with internal customers whose adoption and satisfaction drive success. You're uncomfortable with rapid change and continuous improvement, preferring stability and established patterns over evolving practices based on data and feedback. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your Talent Partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme. Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with our Talent team (30 minutes). Manager Interview (60 minutes). Technical Assessment (system design whiteboard) (120 minutes). Values Interview with Tech Leadership (60 minutes). We offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. . click apply for full job details

About the Hiring Team: Tencent Overseas IT is dedicated to empowering Tencent's rapid global growth with future ready, global IT platforms, applications and services. We lead the overseas IT strategy, architecture, roadmap, and execution to satisfy internal and external customers while building a world class global IT team. Position Overview We are seeking a Sr. AI Software Engineer to architect and lead the development of a groundbreaking in house AI Coding Agent. This tool will act as a force multiplier for our game studios' development pipelines, accelerating our developers by providing intelligent code generation, in depth code inspection, and advanced debugging capabilities. Duties and Responsibilities Architect and lead the development of a robust, scalable AI Coding Agent tailored to our game development workflows (primarily for UE/Unity based games in C++, C#, and other relevant languages). Integrate the AI agent directly into developer IDEs (like Visual Studio, VS Code) and our game engines (e.g., Unreal Engine, Unity). Collaborate closely with game developers, technical artists, and engine programmers to gather requirements, understand pain points, and iterate on the tool's features. Optimize model inference speed and resource usage to ensure the agent is fast and responsive without hindering developer workstations. Mentor other engineers on the team and establish best practices for AI development, agentic RAG and agent based architectures. Stay current with the latest research in AI, code generation, and LLMs to continuously improve the agent's capabilities. Who We Look For Customer oriented and able to thrive in a fast paced environment. Positive, self motivated, and passionate. Independent, insistent, and open minded. Great team player, dependable and autonomous. Data driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands on expertise in Retrieval Augmented Generation (RAG) and AI Agent architectures. Deep, hands on experience with LLM APIs and/or fine tuning and serving open source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem solving skills and the ability to work on complex, ambiguous projects, delivering results in a fast paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer facing AI tool (IDE plugins, CLI, etc.). Experience in the game development industry or with game engines (Unreal, Unity). Equal Employment Opportunity: At Tencent, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and community. We foster an environment where every employee feels supported and inspired to achieve individual and common goals. Tencent is a world leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.

Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Enterprise Architect (Onsite Lead) - Agentic IVR (Banking) Role Summary We are seeking an experienced Enterprise Architect - Onsite Lead to drive a strategic Agentic IVR transformation program for a leading banking client on GCP. This role combines deep architectural expertise with strong customer relationship management, acting as a trusted advisor to senior business and technology stakeholders. Key Responsibilities Serve as the primary onsite liaison for banking stakeholders, building strong, trust-based relationships across business, operations, and IT. Lead Agentic IVR architecture design using GCP (CXAS, Dialogflow CX, ADK, Vertex AI, Apigee) for banking use cases such as customer servicing, fraud checks, payments, and loan inquiries. Translate business goals into secure, compliant, and scalable AI-driven conversational solutions. Drive CX transformation and automation strategy aligned with regulatory requirements. Ensure seamless integration with core banking systems, and CCaaS platforms. Establish governance, compliance, and AI guardrails (data privacy, auditability, explainability). Oversee delivery teams ensuring quality, performance, and resilience. Key Skills Expertise in Conversational AI / IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 12-18+ years in enterprise architecture / solution design Proven experience in onsite client-facing roles in banking programs Hands on delivery of IVR / Contact Center / Conversational AI transformations Experience with large scale digital transformation in regulated environments Track record of engaging executive stakeholders and driving CX initiatives Preferred Qualifications Experience working with Tier 1 banks or financial institutions Strong understanding of banking regulations (e.g., data privacy, PCI DSS, GDPR equivalents) Exposure to CCaaS platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi agent orchestration / agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent)

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta is transforming how companies build and scale trust. As a Principal Engineer, you'll define the golden path for frontend development across the organization-establishing patterns, standards, and systems that enable our product engineering teams to ship faster while maintaining the highest quality. While Vanta has strong backend engineering practices, our frontend capabilities are still maturing. This is your opportunity to establish what "frontend good" looks like at Vanta: defining best practices for data layer architecture, state management, testing frameworks, and design systems. You'll work closely with our AI Developer Experience team on cutting edge AI tooling and agentic feedback loops for AI generated frontend code-ensuring our AI assisted development maintains quality and consistency. You'll operate across multiple teams within both Platform and Product Engineering, especially our Design Systems and Frontend Platform teams to influence engineering wide standards. This is a hands on role where you'll embed with teams to solve complex problems, write code alongside engineers, and zoom out to write strategic documents for executive audiences. You'll partner directly with the Head of Platform Engineering to drive operational excellence and technical strategy for frontend at Vanta. What you'll do as a Principal Engineer at Vanta: Define and drive the technical strategy for frontend development across Vanta, establishing patterns and standards that scale Establish best practices for data layer architecture, state management, testing frameworks, and design systems organization wide Partner with our AI Developer Experience team to build cutting edge AI tooling and agentic feedback loops for AI generated frontend code Embed with teams to solve complex technical problems hands on, spending approximately 50% of your time writing code Drive operational excellence initiatives across Platform teams, including metrics definition, standard setting, and org wide rollout Influence engineering wide decisions and strategy through technical leadership and clear communication with executive audiences Work across Design Systems, Frontend Platform, and Product Engineering teams to create shared solutions with broad organizational impact Mentor and coach engineers across the organization, helping them level up their frontend skills and architectural thinking How to be successful in this role: Expert level proficiency in JavaScript and deep experience with modern frontend technologies Experience with GraphQL and building scalable data architectures for web applications Broad technical knowledge across testing frameworks, build systems, accessibility standards, internationalization, and localization Proven track record of driving organization wide technical initiatives and influencing engineering strategy Demonstrated ability to balance hands on technical work with strategic thinking and executive communication Strong skills in building platforms and tools for other developers, with a focus on consumable APIs and excellent developer experience Experience leading technical change while maintaining product velocity and quality Ability to navigate ambiguity, identify high leverage work, and know when to delegate versus embed deeply Excellent verbal and written communication skills, capable of influencing peers and leadership across the organization Track record of building relationships and navigating complex organizational dynamics Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact. What you can expect as a Vanta'n in Canada: Industry competitive salary and equity 100% covered medical, dental, and vision benefits with dependents coverage Pension contribution 16 weeks fully paid Parental Leave for all new parents Health & wellness stipend Remote workspace, internet, and cellphone stipend Flexible work hours and location 21 days of Vacation Time and 80 hours of Sick Leave 11 company paid holidays Virtual team building activities, lunch and learns, and other company wide events! Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG is building the next generation of AI native platforms, enabling advanced reasoning systems, autonomous agents, and enterprise scale GenAI capabilities. As a Platform Team Lead (PTL) Gen AI Platforms and Agent Development Kit, you will play a defining role in shaping the core intelligence layer that powers BCG AI solutions globally. This is a rare opportunity to lead at the forefront of AI platform engineering - architecting the systems, tools, and frameworks that hundreds of teams will rely on to innovate, scale, and deliver impact. You will set the strategy, lead high performing engineering and platform squads, and bring to life a world class AI platform that champions safety, performance, scale and responsible innovation/ RAI. As a PTL, you will drive innovation, collaborate across global teams, and shape the roadmaps that keep BCG at the absolute forefront of AI platforms, capabilities and best practices of building AI/ Agentic solutions at scale. If you are energised by complex technical challenges, enterprise scale transformation, and building platforms that change how organisations operate, this role offers unmatched scope and influence. Among your responsibilities, you will: Lead the Strategy and Execution for the BCG's Core AI/ Intelligence Layer Own and evolve the Gen (AI) platform vision and agentic systems, including LLM orchestration, contextual memory, and semantic knowledge layers. Shape the roadmap for the Platform AI/ Agent Development Kit (ADK) - the core toolset powering developer and team adoption across BCG. Lead Gen (AI) platform engineering teams and operating model. Scale GenAI capabilities firm wide, across Core IT and business use cases. Architecting Scalable, AI Native Systems Design scalable, secure, AI first, cloud native platform components that support advanced reasoning, long term memory, and multimodal insights. Doing so by leveraging BCG's cloud/ hyper saler & vendor partnerships (AWS, GCP and Azure) Define AI solution archetypes for use cases teams to effectively use the platform capabilities with well defined, reusable accelerators, SDK and tool kits. Govern platform wide design decisions to ensure safety, scalability, interoperability and implementation of responsible AI standards. Own cross functional alignment with Data, Security, Capabilities Build, Infrastructure, and business stakeholders Build and Lead High Performing Teams Lead engineering, architecture, and platform teams with a culture of excellence, innovation, and accountability. Coach and mentor senior talent; champion strong engineering practices and high quality delivery. Delivery & Operational Excellence Own end to end delivery of capabilities & components and services owned by the platform teams. Establish and run enterprise grade AI observability frameworks to monitor performance, safety, and interpretability. Continuously enhance LLM Ops, Evaluation and Quality pipelines. Ensure robust AIOps/DevSecOps, CI/CD, Infrastructure as Code, and automated delivery pipelines. What You'll Bring Leadership & Delivery Over 15 years of experience in engineering leadership, platform or product ownership, or technical programme delivery in large enterprise. At least 5 years in AI and Gen AI related experience. 3+ years as Senior Director or Equivalent in software/AI engineering or equivalent. Demonstrated success leading multi disciplinary teams (engineering, product, architecture, data). Evidence of innovation in building/operationalising AI / GenAI or emerging technology platforms. Technical Expertise Masters or Bachelor's in AI/ Computer Science & Engineering or equivalent work experience. Proven success in architecting enterprise scale AI platforms using modern AI native/ cloud native stacks. Deep experience architecting, applying and deploying LLM-based systems, generative models, agent frameworks, and scalable AI/ML platforms. Mastery of enterprise cloud stacks (AWS/GCP/Azure), vector DBs, Knowledge Graphs, contextual memory, distributed systems, MLOps/ LLMOps, and infrastructure automation. Additional info YOUR TRAVEL Mostly from the BCG office, occasionally work at other BCG offices. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Are you a Senior Software Engineer looking to progress your career or an existing Lead Engineer with a passion for technology, looking to join and lead an ambitious and growing cross functional DevOps team? As a Lead Software Engineer, you will be hands on working in a fast paced, cloud first, product driven engineering team. You will be providing technical leadership to the Platform team, as well as collaborating with our Solution & Infrastructure Architects to help translate architecture into solution design. As well as technically leading the Platform engineering team, you will be joining a wider community of technical leads, each of who work within the various product engineering teams, to help drive technical best practice across the PayPoint CTO function. This position will be based working remotely with the occasional visit fortnightly/monthly to our bright and modern offices in Welwyn Garden City. Key responsibilities Technical Leadership & Architecture System Ownership: Oversee all aspects of development for an entire product or system, taking ultimate ownership of key decisions regarding the overall technical direction. Scalable Design: Design, develop, and maintain technical solutions engineered to support the ongoing growth of the business while meeting functional and non functional requirements. Engineering Excellence: Write and enforce clean code that strictly adheres to SOLID principles and aligns perfectly with the defined solution architecture. Production Accountability: Maintain accountability for all deliveries into the Production environment by yourself and other team engineers, ensuring deployments never compromise system stability, availability, or security. Security Mindset: Explicitly demonstrate experience designing product features and systems with data and application security in mind from day one. Systems Reliability: Ensure the business operates on performant, reliable systems that consistently meet baseline service levels. AI Integration & Engineering Efficiency AI Tooling & Automation: Champion and oversee the ethical, secure adoption of AI coding assistants (e.g., GitHub Copilot) within the team to accelerate development lifecycles and automate routine tasks. Agentic Workflows: Architect, evaluate, or integrate AI agents and agentic frameworks to streamline internal operations, automated testing, or enhance product capabilities. AI Governance: Establish clear guidelines for the engineering team on code verification, licensing, and security compliance when utilizing generative AI tools. Team Leadership & Process Optimization Team Mentorship: Mentor the engineering team, leading by example to cultivate new skills, explore modern technologies, and implement advanced problem solving methodologies. SDLC Governance: Ensure that the entire application lifecycle, quality assurance mechanisms, database engineering protocols, and automated build and deployment tasks are mature, in place, and thoroughly understood by the team. Continuous Improvement: Actively participate in driving continuous improvement across the team's development processes, software tools, and delivery output. Agile Collaboration: Partner with the Delivery Manager and Product Owner to help shape the team's day to day ways of working within an Agile framework. Talent Acquisition: Assist with the recruitment, interviewing, and technical assessment of incoming engineering team members. Stakeholder Management & Operations Cross Functional Bridging: Bridge the communication gap between the engineering team and other technical or non technical business units, both internal and external. Technical Translation: Assist in translating highly complex technical solutions into accessible, universal language that non technical staff can clearly understand. Stakeholder Support: Support the Product Owner and Delivery Manager in regular communication, timeline setting, and progress updates for senior business stakeholders. Deadline Delivery: Maintain focus and drive to deliver high quality, thoroughly tested software against challenging business deadlines. Operational Readiness: Participate as part of an out of hours support rota to ensure that all core applications, systems, and services run smoothly at all times. Essential skills and experience Technical Requirements Experience: 5+ years of professional software development experience, with at least 2 years in a formal technical leadership, team lead, or mentoring capacity. AI Tool Proficiency: Hands on experience utilizing AI assisted development tools to optimize workflows, generate test cases, and refactor legacy codebases efficiently. Microsoft & Enterprise Backend: Deep expertise in C# with a proven track record across modern .NET Core / .NET 6+ and legacy .NET Framework (3.5+). Azure Cloud Ecosystem: Hands on experience configuring and maintaining Azure Networking, Storage, Kubernetes (AKS), App Services, API Manager, and Monitoring. Messaging & Middleware: Familiarity with messaging frameworks and queued architectures such as Azure Service Bus or MSMQ. Database Engineering: High proficiency in relational databases (SQL Server, T SQL, Stored Procedures) and No SQL solutions (Cosmos DB). Testing & Quality Assurance: Dedicated commitment to TDD with mastery in unit test frameworks (NUnit, MSTest, or xUnit.net), Mocking frameworks (Moq), and integration testing. DevOps & Version Control: Advanced proficiency using Azure DevOps and Git for source control, build configuration, and deployment automation. Soft Skills & Delivery Problem Solving: Exceptional analytical skills to diagnose complex, distributed runtime environments and data layers. Agile Alignment: Complete commitment to delivering high quality, well tested software as part of a fast paced, collaborative agile team (Scrum/Kanban). Additional skills and experience It would be great if you already have: DevSecOps: Practical experience embedding automated security practices (e.g., SAST/DAST tools) directly into CI/CD pipelines. ORM Technologies: Production experience with Entity Framework or NHibernate. Legacy BI Stack: Competency in Microsoft SSIS (Integration Services) and SSRS (Reporting Services). Testing & Monitoring Tools: Experience using Postman/SOAP for API verification, automated UI frameworks (Selenium, Cypress), or enterprise log aggregators (Splunk). Mobile Development: Exposure to Android development frameworks. Modern Languages: Familiarity with or a strong interest in newer systems languages like Golang or Rust. Our benefits if you decide to join us: Holiday purchase scheme, with 25 days holiday plus bank holidays as standard. On site gym at our office (Free), and nationwide corporate rate gym membership. Online benefits portal where you can access lots of deals, discounts - for example of shopping or holidays. Contributory company pension scheme. Progression and Development. Private medical insurance. Electric Car Scheme. Life assurance of 3 x annual gross salary, with the option to purchase additional cover. You're also able to purchase a range of benefits at a discounted rate including, critical illness cover, bicycles via our Cycle2Work scheme, dental insurance and TasteCard dining discount card. Love2shop Everyday Benefits Card. As a disability confident committed company, we have a passion for championing equality. We welcome all colleagues into a work environment where success is attainable for everyone, regardless of disability, age, race, religion, gender identity, or sexual orientation. We are committed to ensuring that everyone has equal access to growth and opportunities in our workplace.

Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production grade, cloud native AI applications that integrate cutting edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud optimized AI powered products and fostering a culture of innovation and rapid, continuous delivery. As an AI Application Engineer, you will be instrumental in designing, building, and deploying end to end, cloud native AI applications that leverage advanced AI/Machine Learning solutions to drive tangible business value. You will thrive in a fast paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable cloud based application architectures, optimized data models, and technical specifications that incorporate AI capabilities, and then implement and deliver these systems with a focus on speed, reliability, and operational excellence. Key Responsibilities Rapid Prototyping & Application Development: Lead the end to end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud optimized application architectures, scalable data models, and technical specifications for AI powered solutions, considering scalability, cost efficiency, security, and data governance principles. Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications. Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair programming, empowering receiving teams to take ownership and continue the development and maintenance of AI powered applications. Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. 9+ years of hands on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models. Demonstrated experience building and deploying end to end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well defined, cloud optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI powered systems, and to subsequently implement and accelerate delivery of robust, production ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards. Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non technical stakeholders across all levels of the organization. Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others. Proven ability to lead or significantly contribute to cross functional projects. Productionize LLMs: Build evaluation framework for open source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business aligned outcomes. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool calls to meet stringent SLOs under real world load. Build agentic AI systems: Design and implement tool calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post incident summarization with full traceability. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

As a Senior Software Engineer on the Finance Experience team, you'll play a central role in delivering the systems that power seamless, automated expense reconciliation for Perk clients. The team's mission is ambitious: to reconcile 100% of travel expense data for every client through a fully automated, accurate, and effortless accounting experience - eliminating manual effort for finance teams. You'll work across the full stack on features spanning employee reimbursements, expense capture, ERP integrations, supplier invoicing, and integrations with third party expense platforms like Pleo and Ramp. Through close partnership with finance, compliance, and cross functional engineering teams, you'll help ensure that every step in the financial reconciliation journey works seamlessly. Are you a Senior Software Engineer who thrives on real ownership? At Perk, we know that we feel most fulfilled when we can own the problem and the solution. This means taking responsibility for the entire lifecycle of a feature, from understanding customer pains with the product team, design documents, coding to deployment, and measuring impact. You will see how your technical decisions move the needle for our customers daily. We prioritize autonomy and pragmatism, giving you the space to solve complex problems without unnecessary friction. Engineering excellence here is measured by the reliability and simplicity of the systems you build to power a global platform. How we work At Perk, we believe the best work happens when great people come together in small teams, with a shared sense of purpose. You'll join a cross functional squad where you have real ownership of a piece of Perk's domains, a genuine say in what gets built, and the autonomy to make it happen. Each team decides how to contribute to Perk's company goals. We care about impact, and we trust our people to deliver it. AI at Perk AI is embedded in how we work and what we build. On the engineering side, it spans the whole workflow: our Notion, Jira, GitHub and Slack are AI connected so you get up to speed fast, and day to day it helps with specifying features, writing and reviewing code, and automated AI PR review on every pull request. When something goes wrong in production, AI surfaces context across systems quickly. We also embrace agentic coding, using AI as an active collaborator, not just a prompt by prompt co pilot. We expect candidates to use AI tools in our coding interviews. The bar is understanding your code and owning what you produce. That reflects how we work every day. Some examples of what it means to be a Senior at Perk Shape the bigger picture. You won't just build features, you'll refine the what to build and why. At Perk, senior engineers are expected to go beyond the technical solution and focus on the problem itself. You'll contribute to your squad's quarterly goals and long term vision alongside your Product Manager and Engineering Manager. Architect for today and tomorrow. When a big change is needed in how our platform works, you'll write the design documents that lay the foundation. You'll become a guardian of your team's technical quality; spotting areas of investment, proactively managing technical debt, and making sure we don't let busy work crowd out the work that truly matters. At Perk, we believe in impact over effort: our customers see results, not the hours behind them. Your job is to make sure we're always investing our energy where it counts most. Lead across boundaries. Your influence won't stop at your own squad. You'll communicate complex ideas across multiple teams, proactively identify who needs to be involved, and drive alignment across the broader organisation. Whether it's coordinating a cross squad initiative, contributing to one of our engineering guilds (where engineers from different teams align on shared technical topics), or pairing with architects on solution discovery, you'll operate comfortably beyond your immediate team. Raise the bar for everyone around you. Senior engineers at Perk are mentors, coaches, and bar raisers. You'll support less experienced colleagues through direct mentorship, thoughtful feedback during reviews, and by modelling what great engineering looks like in practice. You'll help Engineering Managers understand where the team needs to grow technically, and you'll use spaces like guild meetings, design doc reviews, and pairing sessions to lift the overall standard. At Perk, we are a team, the team's success is your success. Desired skills and experience Product Leadership: Translates complex business goals into technical roadmaps; de risks ambiguous projects through spikes and prototyping. System Architecture: Architects scalable, evolvable systems and data models that account for performance, failure isolation, and long term maintenance. Technical Standards: Defines and upholds engineering excellence, including CI/CD optimizations, testing strategies, and coding standards across the stack. Frontend Strategy: Establishes frontend architecture patterns, including state management, performance budgets, and comprehensive testing (E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management, to ensure a hardened production environment. Mentorship & Influence: Levels up the engineering organization through active mentorship, leading design reviews, and influencing the product roadmap with technical data. Cross Functional Impact: Coordinates multi team deliverables and aligns stakeholders to resolve technical blockers across the organization. AI Driven Development: Experience with-or a strong interest in-modern AI augmented workflows. This includes leveraging agentic workflows, developing custom agentic skills to extend AI capabilities, utilizing AI powered code reviews. Location & Relocation For certain roles, we can help with relocation from anywhere in the world. This role requires you to be based within commuting distance of our hubs. English is the official language at the office. Equal Opportunity Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We're an equal opportunity employer, which means you're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you.

Your role in the team The Digital Product Manager owns product strategy, roadmap, and outcome delivery for cyber platform capabilities spanning AI enablement, security data products, and tooling integration ensuring operational teams have scalable, well governed, and effective solutions that improve cyber workflows and decision making. We are hiring for three distinct Digital Product Manager roles within Allstate Cyber Operations & Platforms, each contributing to a unified, AI enabled cyber operations ecosystem. Agentic Cyber Platforms focuses on building the shared AI infrastructure, including frameworks, orchestration, and guardrails, to enable secure, scalable use of AI across workflows. Security Data & Observability delivers a high quality Security Operations Data Plane, ensuring reliable, well governed data flows that support detection, analytics, and AI driven decision making. Tooling & Platform drives the integration, lifecycle management, and governance of security tooling, ensuring systems operate as a cohesive platform rather than siloed solutions. Together, these roles enable a modern cyber operating model centered on AI enablement, trusted data, and integrated platform capabilities to improve efficiency, scalability, and decision making. Key Responsibilities Define and maintain product vision, roadmap, and backlog across platform, data, tooling, and AI enablement capabilities. Translate cyber operations needs into testable hypotheses, epics, and user stories; lead discovery and framing to drive measurable outcomes. Establish and track outcome based KPIs (adoption, workflow efficiency, data quality, latency, operational impact, platform reuse, decision quality). Prioritize capabilities that improve ecosystem consistency, enable safe AI adoption, strengthen data reliability, and reduce workflow fragmentation. Partner with engineering and platform consulting to ensure feasibility, security by design, scalable architecture, and alignment to enterprise standards. Drive adoption through documentation, enablement, standards, demos, and feedback loops with operational teams and stakeholders. Balance innovation velocity with governance, defensibility, operational reliability, and long term platform sustainability. All applicants must demonstrate they have the legal right to work for employment at Allstate. Essential Skills A minimum of 5 years of experience in digital product management, platform product delivery, data product ownership, or enterprise tooling ecosystems. Demonstrated success translating complex stakeholder needs into outcome based roadmaps and prioritized backlogs. Demonstrated ability to partner closely with engineering and architecture teams. Proven track record of defining strategy and using metrics to drive prioritization, decision making, and measurable outcomes. Experience operating in agile, product centric delivery models. Desirable Skills Experience with AI/ML enabled products, platform capabilities, workflow automation, or data driven operational ecosystems. Familiarity with security operations workflows, telemetry or observability concepts, and analyst tooling environments. Experience with governance by design concepts such as auditability, data quality, access boundaries, lineage, or policy enforcement. Experience building or scaling internal platforms and driving adoption through reusable standards, integration patterns, and enablement. Supervisory Responsibilities This job does not have supervisory duties. Benefits Competitive annual salary. Corporate bonus scheme. Pension scheme. Annual performance related pay reviews. Life assurance and income protection. Flexible working options, hybrid working. Private medical and dental insurance. Employee assistance programme. Discounted gym membership. Two paid volunteering days each year. Cycle to work scheme.