Job Description: AI Automation & Agentic AI Lead
Experience: 7+ Years in Technology, with 3+ Years in GenAI / AI Automation
Location: Bangalore – Hybrid
Role: AI Architecture, Agentic AI & Enterprise Automation
Role Summary
We are looking for an experienced AI Automation & Agentic AI Lead to architect, develop, and govern enterprise-grade AI solutions using Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP). The role involves leading AI architecture and delivery, building intelligent agents and automation workflows, and ensuring enterprise security, scalability, governance, and responsible AI practices.
Key Responsibilities
1. AI Architecture & Delivery
• Architect and implement scalable GenAI and Agentic AI solutions for enterprise use cases.
• Design end-to-end AI platforms integrating LLMs, RAG pipelines, AI agents, and enterprise systems.
• Lead AI solution delivery from proof of concept through production deployment.
• Define reusable architecture patterns, engineering standards, and integration frameworks.

2.



Agentic AI & Automation
• Design and develop intelligent agents and multi-agent workflows for business process automation.
• Build AI assistants integrated with enterprise tools, APIs, and knowledge bases.
• Implement tool calling, agent memory, reasoning patterns, and workflow orchestration.
• Drive AI-powered decision-making and automation to improve operational efficiency.

3. RAG & Enterprise AI Platforms
• Design and optimize RAG architectures, embedding pipelines, semantic search, and retrieval strategies.
• Work with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, or Chroma.
• Integrate LLMs and AI agents with enterprise applications, data platforms, and APIs.
• Ensure AI solutions are scalable, reliable, observable, and production-ready.

4. AI Governance, Security & Leadership
• Establish AI governance, Responsible AI, security, compliance, and data protection practices.
• Define standa

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