Senior Cloud-Native AI Architect

2 days ago

Jodhpur, Rajasthan, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
About the Role

We are seeking a highly experienced AI Architect to lead the design and implementation of agentic AI systems within cloud-based infrastructure.

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

Our ideal candidate will have expertise in designing and implementing agentic AI systems using cloud services (AWS Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).

  • Architect and design agentic AI systems 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).

Responsibilities:

  • 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.
Qualifications and Skills

We are looking for an exceptional individual with the following 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).
  • Excellent leadership, stakeholder management, and solution governance skills.

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