Title: Associate Manager - GenAI Platform Architecture
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 Type: Associate Manager - GenAI Platform Architecture
Description: We are seeking an innovative GenAI Architect AM to lead the design and development of next-generation AI platforms with cutting-edge Retrieval-Augmented Generation (RAG) capabilities. This role demands deep expertise in Large Language Models (LLMs), Schema RAG, Agentic-RAG, Knowledge Graphs, and Model Context Protocols (MCP). You will be responsible for building secure, scalable, and intelligent GenAI systems that drive value across enterprise use cases. As a thought leader, you will collaborate with cross-functional teams to architect intelligent solutions that integrate the latest in AI infrastructure, orchestration, and observability.
Responsibilities
• Architect scalable GenAI platforms leveraging advanced RAG methods including Traditional RAG, Schema RAG, and Agentic-RAG.
• Design and implement multi-agent orchestration using Model Context Protocols (MCP) and Agent-to-Agent (A2A) patterns.
• Integrate Knowledge Graphs with vector databases such as FAISS, pgvector, and Pinecone for context-rich retrieval.
• Lead prompt pipeline design and observability using tools like Langfuse, LangGraph, and DSPy.
• Define end-to-end system architecture, including DevOps workflows, secure API gateways, and cloud-native deployment strategies.
• Mentor and guide cross-functional teams on best practices in system design, LLM integration, and AI reliability.
• Ensure systems adhere to security, privacy, and compliance standards such as HIPAA and GDPR.
Must Have
• Hands-on expertise with LangChain, DSPy, LangGraph, and Python frameworks like FastAPI.
• Strong understanding of vector databases (FAISS, Pinecone, pgvector) and graph technologies (Neo4j).
• Experience with cloud platforms such as AWS (Lambda, ECS, IAM, Bedrock), Azure, or GCP.
• Proficient in DevOps tooling (Docker, Terraform, GitHub Actions) and prompt evaluation workflows.
• Knowledge of secure API design, token lifecycle management, and hallucination mitigation strategies.
• Deep understanding of LLM architectures, multi-agent systems, and RAG pipeline optimization.
• Innovative, strategic thinker with strong problem-solving skills and a passion for mentoring.
• Excellent communication, documentation, and system design capabilities.
• Demonstrates innovation, adaptability, and a continuous improvement mindset.
EQUAL OPPORTUNITY