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Salary
≈ $24k – $65k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Staff · 12+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Bupa is a global healthcare company that delivers a broad range of health services, including aged care and retirement, hospitals, health insurance, and community wellbeing initiatives to over 60 million customers.

We are looking for an experienced Technical Lead - AI to drive the design, development, and delivery of next-generation AI solutions. The ideal candidate will have strong expertise in Agentic AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), along with experience building production-ready AI applications. You will lead technical initiatives, mentor engineering teams, and work closely with cross-functional stakeholders to deliver scalable AI-powered products.


Responsibilities:

  • Lead the architecture, design, and development of AI-powered applications using Agentic AI, LLMs, and RAG.
  • Build and deploy production-ready AI solutions with a focus on scalability, reliability, and performance.
  • Design AI agent workflows and orchestration for complex business use cases.
  • Collaborate with Product, Engineering, and Data teams to define technical solutions.
  • Mentor engineers through code reviews, design discussions, and technical guidance.
  • Evaluate and implement emerging AI frameworks and technologies.
  • Ensure engineering best practices, security, observability, and governance across AI applications.
  • Drive innovation by adopting AI-assisted development tools and modern engineering practices.


Requirements:

  • 12-15 years of software engineering experience with technical leadership responsibilities.
  • Strong hands-on experience in Agentic AI, LLMs, and RAG.
  • Experience building and deploying production-grade AI applications.
  • Proficiency in Python and modern AI development frameworks.
  • Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar AI orchestration frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Strong understanding of prompt engineering, AI workflows, and model evaluation.
  • Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, and microservices.
  • Strong knowledge of distributed systems and API design.
  • Excellent problem-solving, communication, and stakeholder management skills.


Preferred Skills:

  • Experience with OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.
  • Exposure to Multi-Agent AI systems and AI workflow orchestration.
  • Experience building AI products for large-scale B2C platforms.
  • Familiarity with MLOps and AI deployment pipelines.

Skills

Agentic AI, LLM, LLMs, RAG, large language model, large language models, retrieval augmented generation

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