Title: Associate Architect GenAI
Bangalore, KA, IN
Job Description
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com
Looking to jump-start your career?
We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth.
We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
If this excites you, then apply below.
Role: GenAI Architect
Description:
Key Responsibilities :
1. Architect scalable GenAI platforms using advanced RAG techniques.
2. Design multi-agent orchestration using MCP and A2A patterns.
3. Integrate Knowledge Graphs and vector databases for semantic search.
4. Lead prompt pipeline development and observability tooling.
5. Define secure API gateways and DevOps deployment strategies.
6. Optimize LLM performance and context management.
7. Ensure compliance with data privacy standards (HIPAA/GDPR).
8. Collaborate with cross-functional teams for system reliability.
9. Mentor engineers on GenAI architecture and best practices.
10. Drive innovation in agentic AI and schema-aware retrieval systems.
Must Have
1. Deep expertise in LangChain, DSPy, LangGraph, and Python.
2. Strong understanding of RAG variants (Schema RAG, Agentic-RAG).
3. Experience with vector DBs like FAISS, pgvector, Pinecone.
4. Knowledge of Knowledge Graphs and Neo4j integration.
5. Familiarity with OpenAI APIs and prompt engineering.
6. Hands-on with Docker, Terraform, and GitHub Actions.
7. Cloud deployment experience (AWS, Azure, GCP).
8. Proficiency in secure API design and token management.
9. Strong documentation and architectural design skills.
10. Strategic thinking with mentoring and leadership capabilities.
EQUAL OPPORTUNITY