Gen AI Engineer – Financial Services, Data & LLM Solutions

Capgemini; Greater London; Hybrid; GBP 110,000 - 165,000; Full time

Job summary

Capgemini is seeking a Gen AI Engineer in London to design, build, and scale GenAI-powered data solutions for financial services. The role blends data engineering, ML/LLM integration, and domain knowledge to deliver enterprise-grade AI platforms.

You will lead data pipelines, vector databases, retrieval systems, and LLM-driven apps across risk analytics, fraud, regulatory compliance, and customer insights, with hybrid work from offices, client sites, and home.

Qualifications

• Strong experience in Generative AI and data engineering.
• Proven ability to deliver AI/Data solutions in financial services.
• Experience leading engineering teams and enterprise-scale initiatives.
• Proficiency in Python, SQL, and cloud platforms.

Responsibilities

• Design end-to-end GenAI solutions using LLMs and vector databases.
• Build AI-driven applications for document intelligence and compliance.
• Develop scalable data pipelines and lakehouse architectures.
• Integrate structured and unstructured data for advanced analytics.
• Deploy and manage AI solutions with MLOps best practices.
• Establish governance, monitoring, and lifecycle management for AI systems.
• Collaborate with stakeholders across risk, compliance and trading domains.
• Ensure GDPR/AML/KYC and data privacy compliance.

Skills

Python

SQL

GenAI frameworks

cloud platforms

Spark/PySpark

Databricks

LLMs

Tools

Databricks

Spark

Snowflake

Azure

AWS

GCP

Job description

Capgemini is seeking a Gen AI Engineer in London to design, build, and scale GenAI-powered data solutions for financial services. The role blends data engineering, ML/LLM integration, and domain knowledge to deliver enterprise-grade AI platforms.

You will lead data pipelines, vector databases, retrieval systems, and LLM-driven apps across risk analytics, fraud, regulatory compliance, and customer insights, with hybrid work from offices, client sites, and home.