Gen AI Engineer – London
Reference Code: 499617-en_GBContract Type:PermanentProfessional Communities: Data & AI
Job Title: Gen AI Engineer
Exp Required 8 years Plus
Location: London
About the Job you are considering:
We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms.You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Key Responsibilities:
1. GenAI & LLM EngineeringDesign and implement end-to-end GenAI pipelines using LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)Build RAG (Retrieval-Augmented Generation) architectures with vector databases (e.g., Pinecone, FAISS, Azure AI Search)Fine-tune, evaluate, and optimize LLM outputs (prompt engineering, embeddings, guardrails)Develop AI solutions for:Financial document processing (contracts, KYC, trade docs)Regulatory compliance automationConversational AI/chatbots for banking use cases
2. Data Engineering & Platform Development
Build scalable data pipelines using tools like Spark, PySpark, Databricks, Snowflake, or BigQueryDesign data lakes/lakehouse architectures on AWS/Azure/GCPIntegrate structured and unstructured data (market feeds, transaction data, PDFs, emails)Implement real-time and batch processing frameworks
3. Cloud & MLOpsDeploy and manage GenAI solutions on cloud platforms (Azure preferred for financial services)Implement CI/CD pipelines, monitoring, and governance for AI systemsUse frameworks such as:
MLflowLangChain / LlamaIndexKubernetes / DockerEnsure scalability, reliability, and security in production environments
4. Financial Services Domain IntegrationWork with business stakeholders to build solutions aligned with:Risk & compliance (Basel, AML, KYC)Trading & portfolio analyticsFraud detection & anomaly detectionEnsure adherence to regulatory and data privacy standards (GDPR, FCA, etc.)
5. Data Governance & Responsible AIImplement data lineage, quality, and governance frameworksApply Responsible AI principles:Bias detectionExplainabilityAuditabilityEnsure secure handling of sensitive financial data
Required Skills & ExperienceTechnical Skills7+ years in data engineering / AI engineeringStrong Python and SQL expertiseHands-on experience with:LLMs and GenAI frameworks (LangChain, LlamaIndex)Vector databases & embeddingsSpark / Databricks / distributed computingExperience in REST APIs and microservices architecture
Cloud & ToolsCloud: Azure (preferred), AWS, or GCPData platforms: Snowflake, Databricks, Delta LakeDevOps: Git, CI/CD tools, Terraform (optional)Containerization: Docker, Kubernetes
Financial Services ExperienceProven experience in:Banking / Capital Markets / Insurance / FinTechKnowledge of:Market data, trade lifecycle, risk systems, or regulatory reportingExposure to:KYC/AML, compliance workflows, fraud systems (highly desirable)
Preferred QualificationsExperience with Azure OpenAI / Copilot / Microsoft FabricKnowledge of knowledge graphs and semantic searchExposure to stream processing (Kafka, Event Hub)Certifications:
Azure Data Engineer / AI EngineerAWS Data / ML certifications
Experience leading teams or mentoring engineers
Soft SkillsStrong problem-solving and analytical skillsAbility to translate business requirements into technical solutionsExcellent communication and stakeholder managementExperience working in agile environments
Nice-to-Have Use Case ExperienceIntelligent document processing (IDP)GenAI for financial research summarizationAutomated report generation (earnings, compliance reports)AI copilots for analysts/traders
We are a Disability Confident Employer:
Capgemini is proud to be aDisability Confident Employer (Level 2)under the UK Governments Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
- Youd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress. You will benefit from Capgeminis learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
- You will be joining one of the Worlds Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini:
Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, youll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, youll build the skills you want. Youll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion. Make it real | www.capgemini.com
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