Automation Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
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Job Description
Structured overview of role & requirementsAbout This Role
Design, deploy, and scale multi-agent orchestration systems automating complex document generation workflows using advanced GenAI frameworks.
Develop and optimize RAG pipelines over large heterogeneous datasets to produce structured, compliant outputs.
Implement evaluation metrics, guardrails, security controls, and performance optimization for scalable, reliable AI inference systems.
Minimum Requirements
Experience with GenAI development including prompt engineering, fine-tuning, RAG, and agentic frameworks (LangChain, CrewAI, AutoGen, etc.).
Proficiency in AWS services relevant to AI/LLM workflows such as Amazon Bedrock, SageMaker, OpenSearch, and Step Functions.
Demonstrated ownership of technical initiatives and mentoring experience; strong Python programming and DevOps skills (Docker, Kubernetes, CI/CD).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing complex AI agent architectures and workflows handling unstructured clinical and regulatory data.
Comfortable working with advanced evaluation, security, and observability pipelines in product-focused agile environments.
Familiarity or strong interest in clinical trial document automation, regulatory compliance (GxP, 21 CFR Part 11), and clinical data standards (CDISC, ICH).