Principal AI Architect

Job Description

• Architect and design agentic AI systems using AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).
• 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 AWS AI stack : Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex.
• 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.

• Be at the forefront of agentic AI innovation in the healthcare and life sciences domain.
• Opportunity to influence enterprise-scale AI strategy across regulated industries.
• Collaborate with top AI engineers, clinical experts, and business leaders on transformative initiatives.
• Competitive compensation, learning opportunities, and global exposure.

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