Senior AI Engineer with Spark, AWS Services

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)

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)