CCA - AI Engineer

Capgemini
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Automated Storage and Retrieval Systems
Information Engineering
Data Systems
Fraud Prevention and Detection
Python
TensorFlow
Google Cloud Platform
Cloud Platform System
Chatbots
PyTorch
Flask
Large Language Models
Prompt Engineering
Generative AI
FastAPI
AI Platforms
HuggingFace
Machine Learning Operations
Api Design
Artificial Intelligence Markup Language (AIML)
GPT
Data Pipelines
Docker
Microservices

Job description

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., * 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 training deployment 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

Requirements

  • Strong Handson experience in Python programming

  • Proficiency in Google Cloud Platform GCP and Vertex AI

  • Experience working with Large Language Models LLM seg GPT Gemini opensource models

  • Knowledge of prompt engineering finetuning and LLM evaluation

  • Familiarity with AIML frameworks TensorFlow PyTorch Hugging Face

  • Experience building APIs and microservices Fast API Flask

  • Understanding of MLOps practices monitoring 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, and
  • Meet the minimum essential criteria for the role.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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