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13 hours ago
We are seeking a highly experienced AI professional to lead the design and implementation of agentic AI systems within cloud-based environments.
This role will focus on multi-agent orchestration, cloud-native AI architecture, and healthcare-compliant AI solutions, enabling trusted, scalable, and intelligent data workflows.
- Design and implement agentic AI systems using cloud services (AWS, Google Cloud, Azure).
- Define multi-agent orchestration strategies for clinical data workflows, source verification, discrepancy detection, and intelligent query generation.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures to drive efficiency and compliance.
- Build and integrate solutions using agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
- Mentor and guide AI engineers, developers, and DevOps teams on agent-based designs and scalable ML workflows.
- Partner with clinical SMEs, compliance teams, and sponsors to ensure technical solutions align with business outcomes and regulatory standards.
- Bachelor's/Master's in Computer Science, AI, or related field (PhD a plus).
- 8–12 years in AI/ML engineering, with 3–5 years in cloud-native AI architecture.
- Proven expertise with cloud AI stacks: AWS AI stack, Google Cloud AI Platform, Azure Machine Learning.
- Strong knowledge of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
- Hands-on experience in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.
- Background in healthcare/life sciences AI solutions with understanding of regulatory compliance (HIPAA, GxP, FDA/EMA guidelines preferred).
- Excellent leadership, stakeholder management, and solution governance skills.
- PhD in a relevant field.
- Experience in healthcare AI solutions.
- Knowledge of regulatory compliance.
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