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AI Platform Architect

Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-03-13
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, AI Engineer, Systems Engineer
Job Description & How to Apply Below
AI Platform Architect - London Reference Code:

- Type:
Permanent Professional Communities:
Architecture

About the Job you are considering:

The AI Platform Architect (Insurance) is responsible for designing, leading, and governing next‑generation AI and machine‑learning platforms that power core insurance functions such as underwriting, pricing, claims, fraud detection, and customer engagement

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:

We are seeking an experienced AI Platform Architect to lead the design and architecture of our next generation AI platform built on AWS and Databricks This role involves defining the High Level Design HLD and Low Level Design LLD for the endtoend platform driving integration with enterprise systems such as Radar EDP and other data

AI services within the ecosystem
The ideal candidate brings a strong blend of cloud architecture data engineering and AIML platform experience along with the ability to translate business requirements into scalable and secure technical solutions

Your

Skills:

  • Define and own the HLD and LLD documentation for the AI platform on AWS and Databricks
  • Design scalable secure and cost optimized architectures for data processing feature engineering model training and inference pipelines
  • Establish standards patterns and best practices for platform components including Lakehouse architecture MLOps and data governance
  • Architect and guide implementation of Databricks workspace setup clusters Unity Catalog Delta Lake workflows and model serving
  • Lead the integration of the platform with key internal systems such as Radar EDP Enterprise Data Platform and other upstreamdownstream applications
  • Design cloud native solutions leveraging AWS services such as S3 IAM Lambda EMR Glue ECSEKS Step Functions Cloud Watch and networking components
  • Work closely with engineering teams product owners data scientists and securityinfra teams to align technical design with business goals
  • Strong expertise with Databricks Delta Lake Unity Catalog MLflow Workflows
  • Proficiency in Python

    SQL and familiarity with CICD Terraform

    IaC is a plus

We are a Disability Confident

Employer:

  • Capgemini is proud to be a
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