Cloud-Native AI Architect

3 days ago

Vijayawada, Andhra Pradesh, India beBeeArtificial Full time ₹ 2,02,16,000 - ₹ 2,42,85,760
Job Overview

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

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

As an AI Architect, you will be responsible for architecting and designing agentic AI systems using AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).

  • Key Responsibilities:
  • Design 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 and Skills

To succeed in this role, you will need the following qualifications and skills:

  • 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.
  • Technical Expertise: Proven expertise with AWS AI stack: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex.
  • Agentic AI Frameworks: Strong knowledge of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
  • Workflow Orchestration: Hands-on experience in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.
  • Healthcare/Life Sciences: Background in healthcare/life sciences AI solutions with understanding of regulatory compliance (HIPAA, GxP, FDA/EMA guidelines preferred).
  • Leadership and Communication: Excellent leadership, stakeholder management, and solution governance skills.
Required Skills

The following skills are required for this role:

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

The following skills are preferred for this role:

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

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