
Lead Cloud-Native AI Architect
2 weeks ago
We are seeking an experienced Artificial Intelligence Architect to lead the design and implementation of agentic AI systems within AWS. This role will focus on multi-agent orchestration, cloud-native AI architecture, and healthcare-compliant AI solutions, enabling trusted, scalable, and intelligent data workflows.
This individual will be responsible for architecting and designing agentic AI systems using AWS services like Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB. They will define multi-agent orchestration strategies for clinical data workflows, source verification, discrepancy detection, and intelligent query generation.
The ideal candidate will have a strong understanding of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen) and 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) is also required.
Key Responsibilities- Architect and design agentic AI systems using AWS services.
- Define multi-agent orchestration strategies for clinical data workflows.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures.
- Mentor and guide AI engineers, developers, and DevOps teams on agent-based designs and scalable ML workflows.
- Bachelor's/Master's in Computer Science, AI, or related field.
- 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.
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