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Lead AI Architect (Healthcare Domain)
Lead AI Architect (Healthcare Domain)Confidential • Bengaluru / Bangalore, India
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Lead AI Architect (Healthcare Domain)

Lead AI Architect (Healthcare Domain)

Confidential • Bengaluru / Bangalore, India
23 days ago
Job description

Job Title : Lead AI Architect (Healthcare Domain)

Experience : 10+ Years

Location : Pan india ( Relocate to Dubai)

Role Definition

We are seeking an experienced Principal Agentic AI Architect / Tech Lead to define the end-to-end technical vision and architecture for Project Aura . This individual will lead a high-performing AI engineering team, select and implement the core AI / agentic frameworks, and ensure the solution is scalable, secure, and seamlessly integrated with PureHealth's technology stack .

The role requires deep expertise in multi-agent AI systems, LLM orchestration, and RAG pipelines , with a focus on building clinical-grade, low-latency applications .

Key Responsibilities

  • Lead the technical vision and architecture for Project Aura, ensuring alignment with business goals.
  • Evaluate, select, and implement AI frameworks, libraries, and orchestration tools (e.g., LangChain, LlamaIndex).
  • Design multi-agent AI systems with robust inter-agent communication, task orchestration, and workflow management.
  • Implement Retrieval-Augmented Generation (RAG) pipelines for efficient and contextually relevant AI outputs.
  • Ensure scalable, secure, and maintainable architecture for low-latency clinical applications.
  • Collaborate with product managers, data scientists, and software engineers to integrate AI systems with existing infrastructure.
  • Mentor and guide AI engineering teams, fostering best practices in coding, system design, and deployment.
  • Conduct technical reviews, define standards, and ensure high code quality, performance, and reliability.

Required Skills And Experience

  • 10+ years of experience in AI system design, software engineering, and technology leadership.
  • Deep expertise in multi-agent systems, LLM orchestration, and AI-driven workflows.
  • Hands-on experience with frameworks such as LangChain, LlamaIndex, and other agentic AI architectures.
  • Strong knowledge of RAG (Retrieval-Augmented Generation) pipelines and vector databases.
  • Experience designing low-latency, clinical-grade applications or enterprise-grade AI systems.
  • Proven track record of leading AI engineering teams and delivering complex projects.
  • Proficiency in Python, PyTorch, TensorFlow, and AI / ML engineering tools.
  • Strong understanding of software architecture, cloud platforms (AWS / Azure / GCP), containerization, and microservices.
  • Excellent problem-solving, communication, and leadership skills.
  • Preferred Skills

  • Exposure to HIPAA-compliant or healthcare-grade systems.
  • Knowledge of vector search, embeddings, and semantic search architectures.
  • Familiarity with prompt engineering, AI safety, and agentic system evaluation.
  • Experience in full-stack AI system deployment in cloud or on-prem environments.
  • Skills Required

    Microservices, Tensorflow, Software Architecture, Pytorch, Gcp, containerization , Azure, Python, Aws

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