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19 hours ago
This is a high-level technical leadership role focused on designing and implementing agentic AI systems within AWS.
Key Responsibilities:- Design and develop highly scalable and secure agentic AI solutions using AWS services.
- Define effective multi-agent orchestration strategies for clinical data workflows to drive business outcomes.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures to inform system design decisions.
- Build and integrate complex AI-powered solutions using established frameworks and tools.
- Mentor and guide cross-functional teams of AI engineers, developers, and DevOps professionals in agent-based designs.
- Collaborate closely with clinical subject matter experts, compliance teams, and stakeholders to ensure alignment with business goals.
- Bachelor's/Master's degree in Computer Science, AI, or related field.
- 8–12 years of experience 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 and their application in healthcare/life sciences.
- Hands-on experience with workflow orchestration and multi-agent pipeline development.
- Background in healthcare/life sciences AI solutions with understanding of regulatory compliance requirements.
- Excellent leadership, stakeholder management, and solution governance skills.
As an expert in agentic AI systems, you will have the opportunity to work on cutting-edge projects that drive business outcomes. You will be part of a collaborative team environment that fosters innovation and growth.
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