Lead AI Architect

4 days ago

Bengaluru, Karnataka, India SWITS DIGITAL Private Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Lead AI Architect

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.

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