Chief Intelligence Systems Architect

2 weeks ago

Coimbatore, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 1,74,72,000 - ₹ 2,01,68,000
AI Architect Position

We are seeking a highly experienced AI Architect to lead the design and implementation of intelligent data workflows within AWS.

This role will focus on cloud-native AI architecture, multi-agent orchestration, and healthcare-compliant AI solutions enabling trusted, scalable, and intelligent data management.

Key Responsibilities:

  • Architect and design agentic AI systems using AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, 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 (LangChain, LlamaIndex, Haystack, CrewAI, 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.

Required Skills and 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.
  • 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.
  • Background in healthcare/life sciences AI solutions with understanding of regulatory compliance (HIPAA, GxP, FDA/EMA guidelines preferred).

Achieving Success in this Role

To excel as an AI Architect, you must have exceptional leadership skills, strong stakeholder management abilities, and solution governance skills. Experience in healthcare AI solutions and knowledge of regulatory compliance are also highly desirable.

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