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Lead AI Engineer with Spark, AWS Services
EPAM Systems
Remote · ArmeniaSalary not disclosedfull-timeVerified recentlyEPAM Systems Careers
We're looking for a Lead AI Engineer skilled in Spark and AWS Services to become part of the RBQM Production Pod within the program. In this position, you'll construct and sustain data pipelines that drive AI/GenAI applications supporting Risk-Based Quality Management for clinical trials.
Responsibilities
- Architect and construct RAG document ingestion pipelines (chunking, embedding, vector indexing) to support clinical trial quality data
- Establish and oversee vector databases (AWS OpenSearch) to support RAG-driven AI workflows
- Create batch and streaming ETL/ELT pipelines from the ground up for unstructured clinical data (PDF, DOCX, clinical reports)
- Construct and expose data APIs that AI applications can consume
- Enhance chunking strategies, embedding generation, and retrieval performance within RAG architectures
- Oversee data quality, lineage, and governance across AI/ML data pipelines
- Set up and sustain AWS data infrastructure (S3, Lambda, Glue, Athena, Step Functions, DynamoDB)
- Partner with Data Scientists and Backend Developers as part of a unified pod team
Languages
- Work format
- Remote
- Seniority
- Lead
- Posted
- 22 Sept 2026 (today)
- Last verified
- 22 Sept 2026