Senior AI Engineer with Spark, AWS Services

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Senior AI Engineer with Spark, AWS Services

Remote in Georgia, & 4 others

AI Solution Engineering

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We are seeking a Senior AI Engineer with Spark and AWS Services expertise to join the RBQM Production Pod within the program. You will build and maintain data pipelines that power AI/GenAI applications for Risk-Based Quality Management in clinical trials. This role focuses on RAG document ingestion, vector indexing, and building data APIs for AI applications.

Responsibilities

• Design and build RAG document ingestion pipelines (chunking, embedding, vector indexing) for clinical trial quality data

• Build and manage vector databases (AWS OpenSearch) for RAG-powered AI workflows

• Develop batch and streaming ETL/ELT pipelines from scratch for unstructured clinical data (PDF, DOCX, clinical reports)

• Build and expose data APIs for AI application consumption

• Optimize chunking strategies, embedding generation, and retrieval performance for RAG architectures

• Manage data quality, lineage, and governance for AI/ML data pipelines

• Deploy and maintain AWS data infrastructure (S3, Lambda, Glue, Athena, Step Functions, DynamoDB)

• Collaborate with Data Scientists and Backend Developers in an integrated pod team

Requirements

• 5+ years of hands-on data engineering experience at scale

• Expertise in RAG document ingestion pipelines (chunking, embedding, vector indexing)

• Proficiency in AWS OpenSearch as a vector database for RAG workflows

• Advanced proficiency in Python, including SQL and Spark SQL

• Skills in unstructured data transformation (PDF, DOCX) for RAG/LLM applications

• Familiarity with AWS Services: S3, Lambda, Glue, Athena, Bedrock, Step Functions, API Gateway, CloudWatch, DynamoDB

• Knowledge of containerization with Docker

• Capability to build custom pipelines from scratch, beyond configuring out-of-the-box services

• Proficiency in English at a B2+ level

Nice to have

• Background in pharmaceutical or life sciences domain

• Familiarity with Snowflake, Pinecone (vector DB alternative)

• Knowledge of SageMaker processing jobs

• Skills in CI/CD tools (Jenkins, Git/Bitbucket) and infrastructure tools (CDK or Terraform)

• Understanding of clinical data standards (CDISC, ADaM, SDTM)