Senior Solution Architect
1 week ago
Key Responsibilities
- Lead architecture design for agentic AI systems leveraging AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).
- Define multi-agent orchestration strategies for clinical data workflows, source verification, and discrepancy resolution.
- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred
- Mentor AI engineers, developers, and DevOps teams on agent-based architectures.
- Collaborate with clinical SMEs, compliance teams, and sponsors to align technical design with business outcomes.
Required Skills & Qualifications
- 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.
- Hands-on experience with AWS AI stack (Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex).
- Strong understanding of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
- Proven expertise in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance.
- Strong leadership, stakeholder communication, and solution governance skills.
Job Type: Full-time
Pay: ₹2,599, ₹4,017,423.27 per year
Work Location: Remote
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