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1 week ago
As a seasoned AI strategist, you will lead the design and implementation of sophisticated agentic AI systems within cloud-native environments.
Key Responsibilities:- Architect and design scalable AI solutions using AWS services, including Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and 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 such as LangChain, LlamaIndex, Haystack, CrewAI, and 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.
- Hands-on experience in workflow orchestration 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.
We offer competitive compensation, learning opportunities, and global exposure. We are an equal opportunity employer committed to diversity and inclusion in the workplace.
About the Role:This is a challenging and rewarding opportunity to work at the forefront of AI innovation, driving business outcomes through cutting-edge technology and collaboration.
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