Generative AI Architect- Senior Manager

Overview

As a Generative AI Architect- Senior Manager, you will lead the design of AI-enabled solutions that turn business challenges into practical data and analytics engineering outcomes within the Data and Analytics Engineering practice. You will guide multi-disciplinary teams through complex delivery, shape client conversations at a senior level, and move ideas from concept to execution while maintaining operational excellence.

What you'll do

• Lead evaluation, benchmarking, and implementation of scalable, secure, and compliant Agentic AI frameworks aligned with enterprise business use cases and organizational strategies.
• Drive technical standardization and maturity in Generative and Agentic AI development by creating reusable orchestration blueprints, prompt engineering guides, best practices, and integration patterns.
• Define scalable multi-agent system design patterns including tool usage, memory management, task routing, agent communication, human-in-the-loop processes, and orchestration frameworks.
• Establish evaluation frameworks to assess Agentic AI solution performance, focusing on reasoning, tool reliability, task completion, hallucination mitigation, and autonomous decision quality.
• Design enterprise Retrieval - Augmented Generation (RAG) architectures optimizing retrieval processes, embeddings, chunking, and reranking aligned with business goals and data governance.
• Mentor AI engineering teams and collaborate with stakeholders to translate objectives into AI roadmaps.
• Manage client engagements including discovery, demos, proposal development, and delivery planning.
• Use DevOps, LLMOps, containerization, and CI/CD pipeline expertise to support successful partnerships.
• Stay updated on Agentic AI and Generative AI advancements.
• Use strategic judgment, influence, and coaching skills to guide multi-disciplinary teams through complex delivery.
• Validate that technical direction aligns with client priorities and the broader business context.

What you'll need

• At least a Bachelor's & Master's Degree.
• 12+ years of experience in technical/technology roles.
• Oral and written proficiency in English.

Nice to have

• Proven experience with enterprise cloud AI platforms like Azure AI Foundry with Microsoft Fabric and Purview, Amazon Bedrock with Knowledge Bases and Guardrails, and Google Vertex AI with BigQuery and Agentspace for building, governing, and deploying scalable production-grade Gen AI and Agentic AI solutions.
• Hands-on expertise with leading agentic and AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalents for AI workflow automation and orchestration.
• In-depth knowledge of vector databases including Pinecone, Weaviate, Milvus, and Azure AI Search and their application in enterprise Retrieval - Augmented Generation (RAG) and knowledge retrieval systems.
• Experience designing and scaling AI solutions that utilize multi-modal capabilities across text, vision, audio, and document understanding.
• Familiarity with AI governance and observability platforms such as LangSmith and Arize to enable monitoring, tracing, debugging, and compliance of production AI systems.
• Expertise in selecting appropriate LLMs such as GPT, Claude, and Gemini based on enterprise cost, latency, and compliance requirements.
• Knowledge of AI-powered development tools including GitHub Copilot, Cursor, and Windsurf to improve engineering productivity and facilitate large-scale AI-driven software development.

Details

• Location: Bangalore.
• Travel requirements: Not specified.