AI Platform Engineer

Job Description

Develop, maintain scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity. Develop and maintain scalable, optimized data pipelines leveraging Python and AWS services to support increasing data volume and complexity, while ensuring seamless integration with AI platforms like Bedrock and Google. Further enhance data accessibility and drive data-driven decision making by collaborating with analytics and business teams to refine data models for business intelligence tools. Strong exposure to work with AI Services like Bedrock, Google (Gemini), and OpenAI Models etc.

Job Requirements

Develop, maintain, and optimize scalable data pipelines using Python and AWS services (e.g., S3, Lambda, ECS, RDS, SNS/SQS, Vector DB).

Develop unit and integration tests and contribute to engineering documentation.

Collaborate with analytics and business teams to improve data models for business intelligence.

Work closely with frontend and backend engineers, product managers, and analysts to ensure successful project delivery.

Participate in code reviews and contribute to the improvement of data engineering best practices.

Business Segment

Corporate

Platform

Operating Division