onsite
AI Engineering Manager - CitiusTech
Engineering Manager
Lead end‑to‑end AI and GenAI solutions for clinical trial activation, designing multi‑agent systems, orchestrating LLM workflows, and ensuring compliance with regulated clinical decision checkpoints.
About the role
Key Responsibilities
- Own solution architecture and design for AI‑enabled clinical trial activation workflows.
- Translate clinical, protocol, and activation requirements into agentic AI designs.
- Define multi‑agent architectures, orchestration logic, and decision flows.
- Establish human‑in‑the‑loop checkpoints for regulated clinical decisions.
- Govern LLM selection, prompt strategy, grounding, and hallucination controls.
- Partner with Data and Cloud Architects to ensure scalable, secure, and compliant deployments.
Requirements
- 10+ years of experience in AI/ML engineering with a focus on GenAI and LLMs.
- Proven track record designing multi‑agent systems and orchestrating complex AI pipelines.
- Deep understanding of cloud platforms (AWS, Azure, GCP) and data architecture best practices.
- Experience with regulated clinical environments and human‑in‑the‑loop validation.
- Strong leadership, communication, and stakeholder management skills.