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 platforms.
This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise‑grade solutions across use cases such as:
- Risk analytics & fraud detection
- Regulatory compliance automation
- Document intelligence (KYC, contracts, trade docs)
- Customer insights & conversational AI
You will work on cutting‑edge technologies including LLMs, vector databases, RAG architectures, and cloud‑native data platforms, helping organizations unlock value from structured and unstructured data.
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.
Your Role
- Design and build end‑to‑end GenAI pipelines using LLMs (OpenAI, Azure OpenAI, Anthropic)
- Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search)
- Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques
- Build AI solutions for document processing, compliance, and banking chatbots
- Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms
- Implement batch and real‑time data processing with structured and unstructured data
- Deploy solutions on cloud with CI/CD, MLOps tools, and ensure production reliability
- Collaborate with business teams, ensure compliance, and mentor teams on best practices
Your Skills
- 7+ years in data engineering or AI engineering with strong Python and SQL expertise
- Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases
- Hands‑on with distributed computing (Spark, Databricks) and microservices architecture
- Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms
- Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes
- Financial domain expertise in banking, capital markets, or fintech environments
- Knowledge of risk, compliance, KYC/AML, fraud systems, and regulatory workflows
- Strong problem‑solving, communication, and stakeholder management skills in agile setups
Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s 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)
- You’d 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 Capgemini’s ‘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 World’s 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.
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