AI Engineering Manager_AI

Role Objective

Provide end to end solution and technical leadership for AI, GenAI, and agentic solutions enabling Clinical Trial Activation.

Key Responsibilities

1. Own solution architecture and design for AI enabled CTA workflows.
2. Translate clinical, protocol, and activation requirements into agentic AI designs.
3. Define multi agent architectures, orchestration logic, and decision flows.
4. Establish human in the loop checkpoints for regulated clinical decisions.
5. Govern LLM selection, prompt strategy, grounding, and hallucination controls.
6. Partner with Data and Cloud Architects to ensure scalable, compliant designs.
7. Define solution level quality gates, acceptance criteria, and performance benchmarks.
8. Ensure AI solutions are explainable, auditable, and safe for clinical use.
9. Collaborate with Validation & Trust teams on AI validation and monitoring.
10. Guide AI engineers and data scientists across implementation and refinement.
11. Drive reuse of solution patterns and reference architectures across CTA.
12. Act as technical advisor to leadership on AI strategy and roadmap.

AI enabled CTA workflows.