Cloud-Native AI Architect

9 hours ago

Aurangabad, Maharashtra, India beBeeAI Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
About the Role

We are seeking an experienced AI Architect to lead the design and implementation of agentic AI systems within AWS. This role focuses on multi-agent orchestration, cloud-native AI architecture, and healthcare-compliant AI solutions, enabling trusted, scalable, and intelligent data workflows.

The ideal candidate will have a strong background in AI/ML engineering, with 8–12 years of experience and 3–5 years in cloud-native AI architecture. They should have proven expertise with AWS AI stack: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex. Additionally, they should have hands-on experience in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.

We offer a dynamic work environment and opportunities for professional growth and development. The successful candidate will be responsible for mentoring and guiding AI engineers, developers, and DevOps teams on agent-based designs and scalable ML workflows. They will also partner with clinical SMEs, compliance teams, and sponsors to ensure technical solutions align with business outcomes and regulatory standards.

  • Responsibilities:
  • Design and implement agentic AI systems using AWS services.
  • Develop 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.
  • Built 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.

Qualifications:

  • Education: Bachelor's/Master's in Computer Science, AI, or related field (PhD a plus).
  • Experience: 8–12 years in AI/ML engineering, with 3–5 years in cloud-native AI architecture.
  • Skills: Proven expertise with AWS AI stack, hands-on experience in workflow orchestration, and multi-agent pipelines.
  • Languages: Strong knowledge of programming languages such as Python, Java, and C++.
  • Familiarity with: Healthcare/life sciences AI solutions, regulatory compliance (HIPAA, GxP, FDA/EMA guidelines preferred).

Required Skills:

  • AWS AI services.
  • Agentic AI frameworks.
  • Leadership and mentoring abilities.

Preferred Skills:

  • PhD in a relevant field.
  • Healthcare AI solutions.
  • Regulatory compliance.

This role offers a unique opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions. We welcome applicants who share our passion for AI and are committed to delivering high-quality results.

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