Data Driven AI System Designer

16 hours ago

Guntur, Andhra Pradesh, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Architect

We are seeking a highly skilled Artificial Intelligence Architect to lead the design and implementation of agentic AI systems within AWS. This role will focus on multi-agent orchestration, cloud-native AI architecture, and healthcare-compliant AI solutions.

Responsibilities:

  • 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.

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.

Requirements:

  • Expertise in AWS AI services.
  • Experience in agentic AI frameworks.
  • Strong leadership and mentoring abilities.

Preferred Skills:

  • PhD in a relevant field.
  • Experience in healthcare AI solutions.
  • Knowledge of regulatory compliance.

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