AI Engineering Manager_AI

CitiusTech

$120K — $150K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in AI and agentic solutions architecture
  • Strong background in clinical trial processes and regulations
  • Proficiency in multi-agent systems and orchestration logic
  • Experience with large language models (LLMs) and AI safety protocols
  • Excellent communication skills to collaborate with cross-functional teams

Responsibilities

  • Own solution architecture for AI-enabled Clinical Trial Activation (CTA) workflows
  • Translate clinical requirements into AI designs
  • Define multi-agent architectures and decision flows
  • Establish human-in-the-loop checkpoints for regulated decisions
  • Govern LLM selection and establish prompt strategies
  • Collaborate with Data and Cloud Architects for scalable designs
  • Define quality gates and performance benchmarks for solutions

Benefits

  • Opportunity to lead cutting-edge AI projects in a clinical setting
  • Collaborative environment with cross-functional teams
  • Chance to influence AI strategy and innovation
  • Focus on compliance and ethical AI practices
  • Professional development opportunities in AI and clinical research
Full Job Description
Role description

Role ObjectiveProvide 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.

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