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