Capgemini is seeking an AI Platform Architect for our insurance practice. In this role, you will be responsible for designing, leading, and governing the next-generation AI and machine-learning platforms that power core insurance functions. You will define the High-Level and Low-Level Design for an end-to-end platform built on AWS and Databricks, driving integration with enterprise systems.
What You'll Do
- 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 upstream/downstream applications.
- Design cloud-native solutions leveraging AWS services such as S3, IAM, Lambda, EMR, Glue, ECS/EKS, Step Functions, CloudWatch, and networking components.
- Work closely with engineering teams, product owners, data scientists, and security/infra teams to align technical design with business goals.
What We're Looking For
- Strong expertise with Databricks, Delta Lake, Unity Catalog, MLflow, Workflows.
- Proven experience designing scalable, secure, and cost-optimized architectures for data processing, feature engineering, model training, and inference pipelines.
- Demonstrated ability to establish standards, patterns, and best practices for platform components including Lakehouse architecture, MLOps, and data governance.
- Hands-on experience architecting Databricks workspace setup, clusters, Unity Catalog, Delta Lake workflows, and model serving.
- Experience leading the integration of AI platforms with key internal enterprise systems and applications.
- Deep knowledge designing cloud-native solutions leveraging AWS services such as S3, IAM, Lambda, EMR, Glue, ECS/EKS, Step Functions, CloudWatch, and networking components.
- Strong collaboration skills to work closely with engineering teams, product owners, data scientists, and security/infra teams.
Nice to Have
- Proficiency in Python/SQL and familiarity with CI/CD, Terraform/IaC is a plus.
Technical Stack
- Cloud: AWS, S3, IAM, Lambda, EMR, Glue, ECS, EKS, Step Functions, CloudWatch
- AI/Data Platform: Databricks, Delta Lake, Unity Catalog, MLflow
- Languages & Tools: Python, SQL, CI/CD, Terraform, IaC
Benefits & Compensation
- You’d be joining an accredited Great Place to work for Wellbeing in 2024.
- Trained ‘Mental Health Champions’ across each business area.
- Invested in wellbeing apps such as Thrive and Peppy.
- Benefit from Capgemini’s ‘learning for life’ mindset with countless training and development opportunities.
- Access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and more.
Work Mode
This is a hybrid position.
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.
