
Senior Cloud AI Systems Architect
2 days ago
We seek an experienced professional to oversee the creation and implementation of innovative AI systems within the AWS framework.
Key Responsibilities:- Design agentic AI solutions using AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).
- Develop multi-agent orchestration strategies for clinical data workflows.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures.
- Build and integrate solutions using agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
- 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 (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
- Hands-on experience in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.
The ideal candidate will have a strong background in healthcare/life sciences AI solutions with understanding of regulatory compliance (HIPAA, GxP, FDA/EMA guidelines). Excellent leadership, stakeholder management, and solution governance skills are also essential.
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