Job Title: AI Engineer
Location: London
About the Job you are considering:
We are seeking a 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
- Design and deploy LLM powered applications using Google Vertex AI
- Develop Generative AI solutions such as chatbots, copilots, and automation tools
- Implement prompt engineering, finetuning, and evaluation techniques
- Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring
- Integrate AI solutions with enterprise systems via APIs and microservices
- Ensure scalability, reliability, and security of AI applications in cloud environments
- Collaborate with stakeholders to translate business requirements into AI solutions
Required Skills & Experience
- Strong Hands‑On experience in Python programming
- Proficiency in Google Cloud Platform (GCP) and Vertex AI
- Experience working with Large Language Models (LLM) such as GPT, Gemini, and open‑source models
- Knowledge of prompt engineering, finetuning, and LLM evaluation
- Familiarity with AI/ML frameworks TensorFlow, PyTorch, Hugging Face
- Experience building APIs and microservices (FastAPI, Flask)
- Understanding of MLOps practices, monitoring, and model lifecycle management
Preferred Qualifications
- Experience with RAG architectures and vector databases (FAISS, Pinecone, etc.)
- Knowledge of LangChain, LlamaIndex, or similar tools
- Familiarity with Responsible AI and model governance
- Experience in financial services domain
- Exposure to Docker and Kubernetes
We are a 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
- 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, and we support it with mental health champions and wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress, with countless training and development opportunities from thinktanks to hackathons and access to 250,000 courses with external certifications.
- You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years, and will help create a future we can all be proud of.
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