Generative AI Architect- Senior Manager

Overview

Lead and innovate enterprise GenAI/agentic AI solutions by converting large datasets into actionable insights and driving delivery across complex programs.

What you'll do

• Lead evaluation, benchmarking, and implementation of scalable, secure, and compliant agentic AI frameworks for enterprise use cases.
• Standardize GenAI/agentic AI engineering via reusable orchestration blueprints, prompt engineering guides, and integration patterns.
• Define multi-agent system design patterns covering tool use, memory, routing, agent communication, and orchestration.
• Establish evaluation frameworks for agentic AI performance, including reasoning, reliability, hallucination mitigation, and production readiness.
• Design enterprise RAG architectures (retrieval, embeddings, chunking, reranking) aligned to business goals and data governance.
• Manage client engagements from discovery and demos to proposal development and delivery planning.
• Use DevOps/LLMOps and CI/CD expertise to ensure successful, trusted partnerships.

What you'll need

• 12+ years of experience in technical/technology roles.
• At least a Bachelor’s & Master’s degree.
• Oral and written proficiency in English required.
• Proficiency in enterprise cloud AI platforms (Azure AI Foundry, Amazon Bedrock, Google Vertex AI) for production GenAI/agentic AI solutions.
• Hands-on expertise with agentic/orchestration frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.

Details

• Location: Bangalore.