WeAreTechWomen

Key Responsibilities The role will report into the Analytics Manager for Optimisation, and while specific responsibilities are dependent on the changing needs of the Tesco business, the following outlines the key responsibilities: Analyzing test results within the Loyalty & Support product spaces in a simple and engaging way with actionable recommendations that can be applied to improve our digital products and the customer experience. Analyzing customer behaviour by leveraging big data from multiple sources and working closely with the UX research team to identify opportunities for improving the customer experience. Ensuring the reliability of test results by applying appropriate statistical testing methods to the test data. Continuously evaluating the AB test analysis process and exploring opportunities to enhance our ways of working. Exploring ways to automate existing analysis processes to make decision-making faster and better support the needs of Optimisation Managers and stakeholders. Working collaboratively with the Analytics Capabilities team to ensure appropriate tracking and means of measurement are in place. Sharing and presenting test results and insights clearly to a range of audiences, including Product, UX and Engineering teams. Working with the finance team to deliver accurate and representative financial benefit forecasts. Providing mentoring and guidance to Associate Optimisation Analysts. Qualifications Experience manipulating and analysing data from multiple sources using big data, business intelligence and data visualisation tools. Excellent verbal and written communication skills - able to articulate complex concepts to a diverse audience. Data driven mindset with strong analytical and problem solving skills; able to translate data into actionable insights to improve the digital experience for our customers. Working effectively with multidisciplinary teams and understanding how to contribute to all phases of the product development lifecycle. Knowledge of AB testing methodology and/or an understanding of the value of optimisation. Proficiency in SQL. Desirable Experience Experience working with Adobe Analytics. Experience working with Tableau. Experience working with AB testing tools.

WeAreTechWomen is seeking an AI Engineer to design, build, and ship production software utilizing AI tools. This position involves integrating LLM APIs and managing AI outputs while supporting client programs across various industries. The successful candidate will collaborate within Agile teams, ensuring high-quality AI-generated applications and contributing to best practices in AI tooling standards. A background in software engineering and experience with AI technologies are essential for this role.

Job Description We are building the next generation of AI native engineering talent who use AI as a core part of how they work, not as an add on. As an AI Engineer (Software), you will design, build, and ship production grade software across the full stack, using AI assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production grade software that connects to and supports agentic AI systems - understanding how your full stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping stone role: it is a core engineering function in the most in demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth. We offer breadth across every industry, every enterprise technology stack, and every level of organisational complexity - combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward deployed engineering. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality. Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers. Apply AI across the full software delivery lifecycle: AI generated tests, AI assisted debugging, AI accelerated code review, and prompt engineering for development tasks. Own the quality of AI generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production ready and when it is not. Define and track KPIs to evaluate the effectiveness and ROI of AI assisted workflows; present AI productivity and quality metrics to project stakeholders. Own delivery end to end - from design through to production support - in Agile sprint cycles alongside client engineering teams. Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team. Build and integrate the application layers, APIs, and interfaces that connect full stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines. Qualifications Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field. Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects). Proficiency in at least one primary backend language: Python, Java, or TypeScript. Demonstrated hands on experience using AI tools actively in day to day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs. Basic understanding of web technologies including JavaScript, HTML, and CSS. Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines. Understanding of Agile delivery fundamentals. Experience with databases - SQL or NoSQL. Ability to validate, evaluate, and improve AI generated outputs; understanding of AI limitations and responsible use. Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full stack applications connect to agent based architecture; production experience preferred, conceptual understanding required. EU Locations London, Berlin, Madrid, Paris Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.

WeAreTechWomen is seeking a Senior Manager for the position of ServiceNow Technical Architect. You will lead the design and implementation of enterprise solutions within Accenture's ServiceNow Business Group. This role demands strong leadership in guiding development teams and integrating solutions with cloud infrastructure. Ideal candidates will have a minimum of 5 years' experience and hold ServiceNow Technical Architect certifications. Competitive salary and benefits are included.

Job Description Role Description: A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. Key Responsibilities Lead enterprise AI platform deployments across complex multi stakeholder client environments - Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir - owning the full programme from architecture through adoption Own programme level delivery outcomes: time to value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi system workflow integration at programme scale Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi year AI adoption roadmaps Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice Lead architecture design sessions, executive workshops, and code with sessions with client engineering and C suite leadership teams Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers Basic Qualifications Engineering experience with cloud native systems (APIs, microservices, containerization, serverless) Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments Experience with AI platforms - OpenAI, Claude, Vertex AI - plus open source models, including building abstraction layers to manage multi provider pipelines Experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports Demonstrated end to end delivery ownership in a client embedded environment; internal projects, vendor labs, or team only deployments do not qualify Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level Non linear profiles are expected and welcomed; assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching People lead responsibilities: experience managing, developing, and performance managing a team of engineers; setting individual development plans and conducting career conversations Locations London Berlin Madrid Paris Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

WeAreTechWomen is seeking a Technical Program Manager who will lead complex engineering projects for Google's data center initiatives. The role requires substantial experience in program management and data center infrastructure. You will be responsible for tracking milestones, coordinating schedules, and communicating project status. The ideal candidate will have a bachelor's degree and at least 8 years of relevant experience. This position promotes a collaborative environment as you manage diverse teams to bring projects to fruition.

Job Description Role Description You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. Key Responsibilities Design and build production grade agentic systems end to end: multi agent orchestration, RAG pipelines, policy based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open source models - with fallback routing, token, cost, and latency management ImplementLLMOpsin production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code with sessions, and architecture walkthroughs Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster Define and use metrics to measure agent accuracy, latency, safety, and cost effectiveness; present findings and recommendations to client stakeholders in business terms Basic Qualifications Software engineering experience in production environments Hands on experience designing and deploying agentic AI solutions in a production environment - non negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent - at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure Locations London Berlin Madrid Paris Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

WeAreTechWomen is seeking an experienced AI Engineer (Agentic/Applied) to build and deploy production-grade agentic AI systems. You will lead technical design sessions and create scalable patterns across various enterprise technology stacks. This role requires significant experience with agentic orchestration frameworks, direct LLM API usage in production, and a solid background in software engineering. The position is based in London and involves collaboration with client engineering teams.

The Business Agility team's mission is to enable Tesco to win together by building adaptable capabilities, demonstrating agility behaviours, implementing effective ways of working, and driving continuous excellence. As a Senior Business Agility Coach, you will design and deliver initiatives aimed at creating adaptable capabilities and agility behaviours, implementing effective ways of working and driving continuous excellence. The initiatives will focus on complex problem areas impacting multiple squads or verticals, requiring deep contextual understanding, data analysis, and the ability to implement transformative change while engaging and influencing stakeholders throughout the process. Leveraging your skills and expertise in various Agile & Lean practices, you will help the Business Agility team create and implement a blueprint for Tesco's Agile ways of working. Accountabilities Analyse and understand context (people, process, product) to tailor impactful changes and solutions. Identify challenges based on insights, business priorities, and the Business Agility mission and strategy. Define optimal solutions using industry best practices and Tesco's context. Create and implement change initiatives suited to context and scale of impact. Develop and deliver targeted learning experiences based on audience knowledge. Facilitate ad-hoc sessions for large groups to promote collaboration and learning. Coach leaders on adopting an Agile mindset and practices. Establish metrics to assess the effectiveness of Agile practices and initiatives, using data to inform decision making and adjustments. Collaborate with stakeholders to align on initiatives and maximise success. Continuously evaluate and adapt Agile practices based on trends and needs. Key Skills Strong understanding of Agile & Lean frameworks and methodologies, both in theory and practice. Excellent facilitation, coaching, and mentoring abilities. Proven ability to influence and lead change at different organisational levels, knowing when to step in and out. Strong problem solving skills with a collaborative mindset. Exceptional communication and interpersonal skills. Experience in managing and facilitating organisational change initiatives. Ability to address and resolve conflicts constructively. Flexibility to adapt Agile practices to suit different contexts. Proficiency in using metrics and data to guide decisions and assess performance. Experience in designing and delivering training programs for diverse audiences. Ability to effectively engage with stakeholders for alignment and support. Capacity to mentor and develop future Agile leaders. Experience Required 6+ years of experience in Agile coaching or related roles, with a proven track record of working with multiple teams to solve common challenges. Demonstrated experience in leading organisational change initiatives, successfully managing resistance and fostering a culture of continuous improvement. Proven ability to use metrics and data to guide decision making, and drive improvement initiatives. Experience in resolving conflicts, facilitating discussions to promote collaboration and problem solving. Familiarity with common tools (e.g., Aha, Jira) and collaboration platforms (e.g., Confluence, Miro). Relevant Agile certifications (Certified Scrum Master, ICAgile Agile Coaching, ICAgile Team facilitation, Kanban Foundation). We are proud to be an accredited Disability Confident Leader, where everyone's welcome. That's why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, please let us know. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

WeAreTechWomen is seeking a Senior Business Agility Coach in Welwyn Garden City. The role focuses on designing initiatives that promote adaptability and effective Agile practices across teams and stakeholders. The ideal candidate has over 6 years in Agile coaching, with proven success in leading change initiatives. The position emphasizes collaboration and continuous improvement, making it crucial to coach leaders and engage stakeholders effectively.

WeAreTechWomen is looking for a Forward Deployed AI Engineer to lead enterprise AI platform deployments. In this role, you'll collaborate closely with client teams to ensure the successful integration of AI technologies, owning the entire program from architecture to adoption. The ideal candidate possesses strong engineering skills, has experience with diverse AI platforms, and is capable of articulating business value to senior stakeholders. This position will focus on driving the development of scalable AI solutions in complex multi-stakeholder environments in London and beyond.

AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London / Paris / Berlin YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering them within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables: writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner. Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices. Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping. Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability. Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements. Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs. Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization. Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge. Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources. Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs. Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements. Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives. Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI. Build governance controls including versioning, audit logging, and lineage tracking, and produce model documentation that keeps systems auditable. Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production. Produce detailed architecture artifacts - including ADRs, architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams. Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability. Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs. Qualification Education Bachelor's Degree or equivalent. Basic (Required) Qualification Proven experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor. Practical experience in the Agentic, LLM, and Generative AI space. Well versed in coding using Python. Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning, and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning, large scale analytical engineering solutions. Locations London Berlin Madrid Paris Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. The application process respects the privacy of applicants in accordance with applicable laws.

Job Description Job Title: Quality Automation Engineer - Leeds Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Our team Accenture Software&Platform Engineering team is over 1,000 people strong and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We work with clients in every sector. They range from scale-ups through to national and international blue chip names and public sector organisations. Our teams routinely work on products that are used by millions of people. We offer an exciting career working in a vibrant environment, with access to training and a global network of experts. As part of our Next Gen Engineering team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The role We typically work hand-in-hand with our clients to develop new Quality Engineering strategies or improve their existing processes. To do this, we need experienced, capable Quality Engineers who can both deploy their own mastery to get things done hands-on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You'd be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional Quality Engineering communities. There are many opportunities to get involved and help shape conversations around topics you're in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. Qualification We are looking for experience in the following skills: You have a passion for improving quality, productivity and software delivery You've spent several years defining and implementing modern Quality Engineering concepts including automated testing You're comfortable working in at least one Object Orientated programming language (Java, C#, Typescript, Python etc) You have hands on experience with GenAI, or evidence of actively pursuing personal GenAI projects outside of work You are familiar with testing within cloud environments such as AWS, Azure You love working with people to build things and solve problems together in an egoless way, regardless of their level of experience or your role in the team You're comfortable with change and always happy to learn something new; as consultants we flex our individual roles and tech stacks as required to get the best outcomes for our clients What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing date for this role is 28/11/25 Locations Leeds Additional Information We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

WeAreTechWomen is looking for a Security Engineering Manager to lead a team of security engineers ensuring the safety of workplace technology platforms. You will oversee operational demands while driving strategic improvements in security practices. The ideal candidate will have a strong background in technical leadership, team development, and a solid understanding of enterprise technologies and cyber risks. Join us to foster a culture of inclusion and continuous learning in cybersecurity.

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary projects in our data center operations and telemetry ecosystems. You will plan requirements, identify risks, manage schedules, and communicate with cross-functional partners across the company. You'll explain analyses to executives and discuss tradeoffs with engineers. Behind the scenes, our Data Center Operations teams design and maintain the infrastructure that powers Google services, ensuring reliability and

WeAreTechWomen is hiring an AI Large Language Model (LLM) Technology Architect in London to design and build advanced AI systems. This hands-on role requires extensive experience in architecting solutions across classical machine learning and generative AI, ensuring they meet enterprise standards. The ideal candidate will manage AI agent architectures and work closely with cross-functional teams, focusing on integrating models and optimizing performance. A Bachelor's Degree in a relevant field is required, along with proven experience in deploying AI solutions.

WeAreTechWomen is seeking an AI Engineer (Agentic/Applied) to design and deploy production-grade AI systems in enterprise settings. You will lead technical sessions, collaborate with client engineering teams, and create reusable patterns to accelerate projects. The ideal candidate has experience with agentic orchestration frameworks, LLM APIs, and a strong software engineering background. This role is based in Greater London with the opportunity to contribute to cutting-edge AI initiatives.

As a Senior Cyber Incident Manager at Tesco, you will command the response to high severity cyber incidents, safeguarding a complex retail ecosystem that serves millions of customers globally. Operating at the forefront of cyber defence, you will lead crisis response efforts, ensuring decisive action, minimal disruption, and protection of customer trust. This role is pivotal in shaping Tesco's incident management maturity, driving strategic readiness and resilience across the organisation. You will combine operational excellence with forward looking innovation to ensure Tesco remains a leader in cyber incident response. Responsibilities Command Major Incident Response: Lead the end to end management of high severity cyber incidents, acting as the incident commander to coordinate technical teams and drive rapid containment and recovery. Advise Executive Stakeholders: Provide clear, authoritative guidance to senior leadership during incidents, translating technical risk into business impact and enabling informed decision making. Drive Strategic Evolution: Shape and continuously improve Tesco's incident management framework, embedding best practice, resilience, and a culture of readiness. Enable Automation Innovation: Champion the use of Applied Artificial Intelligence (AI) and automation to enhance incident detection, triage, and response at scale. Optimise Incident Operations: Leverage platforms such as Zendesk and xMatters to orchestrate complex incidents, ensuring disciplined workflows, accurate communication, and measurable outcomes. Foster Collaboration & Inclusion: Lead cross functional collaboration across Cyber Defence, Technology, and Business teams, promoting inclusive, high performing environments that prioritise customer outcomes. Lead Through Change: Drive adoption of modern ways of working, influencing teams to embrace innovation, continuous improvement, and engineering led approaches to incident response. Essential Advanced Incident Leadership: Demonstrable expertise in cyber incident management and incident response, including leading high impact, business critical incidents in complex environments. Strategic Thinking & Decision Making: Advanced critical thinking and problem solving capability, with the ability to operate decisively under pressure while balancing technical and business priorities. Executive Communication & Influencing: Proven ability to communicate with clarity and authority at all levels, including senior and executive stakeholders, influencing decisions during high pressure scenarios. Operational Tooling Mastery: Strong experience with incident management platforms such as Zendesk and xMatters, ensuring structured, scalable incident orchestration. Applied Automation in Cyber Defence: Practical understanding of how Artificial Intelligence (AI) and automation can be used to enhance cyber defence outcomes, particularly in large scale incident environments. Enterprise Technology Awareness: Broad understanding of enterprise and retail technology landscapes, with the ability to assess how incidents impact critical services and customer experience. Change Leadership: Demonstrable ability to embrace and enable change, leading transformation initiatives and embedding modern operational and engineering practices. Collaboration & Inclusion: Strong track record of working across diverse teams, fostering inclusive environments where different perspectives are valued and leveraged to improve outcomes. Desirable Experience with digital forensics and incident investigation techniques. Familiarity with Jira or similar tools for workflow and delivery management. Understanding of cloud and container security principles. Exposure to core cyber defence technologies (e.g., Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR . Strong data analytics capability, using insights to inform incident response and continuous improvement. Awareness of software development lifecycles and product based delivery approaches. Leadership experience in developing teams and driving capability uplift. Demonstrated curiosity, research capability, and active contribution to the cybersecurity profession. Understanding of retail technology environments and associated cyber risks. Equal Opportunity We are proud to be an accredited Disability Confident Leader, and we commit to providing a fully inclusive and accessible recruitment process.

WeAreTechWomen is looking for a Forward Deployed Engineer to bridge AI products with customer environments. This unique role requires strong software skills in Python, experience in AI solutions, and fluency in French or German. You will build and debug complex workflows, interact with key stakeholders, and support AI integration. This position offers a dynamic work atmosphere, a chance to influence product innovation, and direct collaboration with cutting-edge technologies.

Job Title ServiceNow Technical Architect - Senior Manager Location London Salary Competitive Salary & Package (Dependent on Experience) Overview You will be a senior technical architect within Accenture's ServiceNow Business Group, leading the design and implementation of enterprise solutions and guiding development teams across multiple ServiceNow product lines. Responsibilities Lead and mentor teams of ServiceNow developers, ensuring quality through code and architectural reviews. Architect enterprise wide ServiceNow solutions and drive technical direction across ITOM, ITAM, HAM/SAM, SPM, HR, CSM and other product lines. Operate as a Technical Design Authority, providing trusted advisory and governance to sponsors and stakeholders. Consult with client stakeholders, presenting options, pros, cons and risks to solve business and technical challenges. Integrate ServiceNow with cloud infrastructure (AWS, Azure, GCP) and external APIs using JavaScript, SQL and web services. Identify opportunities for additional value, innovation and continuous improvement. Maintain and grow certification portfolio and pursue Certified Master Architect credentials. Qualifications Minimum 5 years of experience leading teams of ServiceNow developers in a technical management role. Certified ServiceNow Technical Architect with at least 5+ ServiceNow CIS certifications. Expert knowledge of ServiceNow Development and Technical Architecture across multiple product lines. Demonstrated ability to operate in a Technical Design Authority mode with proven advisory experience. Strong scripting and integration skills in JavaScript, SQL, API Web Services. Experience integrating ServiceNow with cloud platforms (AWS, Azure, GCP). Nice to Have Cloud migration experience. GenAI experience. ITILv4 or equivalent certification. Availability to obtain Security Clearance (SC) or existing clearance. Benefits Competitive basic salary; up to 30 days of vacation per year; private medical insurance; three days of leave per year for charitable work. Other Expectations Flexibility and mobility are required to deliver first class services. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.