Agentic AI Architect

Wipro; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Wipro seeks an experienced Agentic AI Architect to lead design, development, and deployment of AI solutions powered by autonomous agents, LLMs, RAG, and Knowledge Graphs. You will architect agentic workflows, guide implementation across enterprise data sources, and mentor teams in responsible AI practices.

The role requires deep expertise in AI/ML, solution architecture, and hands-on work with LangGraph, LangChain, and related frameworks to deliver scalable AI initiatives.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 12-20 years of experience in Web development, AI/ML, data science, software engineering, or solution architecture.
• 3+ years hands-on experience with Generative AI and LLM-based solutions.
• Strong experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
• Expertise in RAG, vector databases, embeddings, prompt engineering, and AI orchestration.
• Experience with cloud platforms such as Azure AI, AWS Bedrock, or Google Vertex AI.
• Proficiency in Python, APIs, MLOps, and enterprise application integration.
• Strong understanding of responsible AI, security, governance, and model evaluation.
• Experience with GraphRAG, Knowledge Graphs, Neo4j, and enterprise search solutions.
• Exposure to AI copilots, workflow automation, and intelligent process automation.
• Relevant certifications in Azure AI, AWS AI/ML, or Generative AI technologies.

Responsibilities

• Design and architect agentic AI solutions leveraging LLMs, autonomous agents, multi-agent systems, and AI orchestration frameworks.
• Lead the development of AI-powered workflows using LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Define agent planning, reasoning, memory, tool usage, and collaboration strategies for complex enterprise use cases.
• Integrate RAG pipelines, vector databases, Knowledge Graphs, APIs, and enterprise data sources into agent ecosystems.
• Provide technical leadership, architecture guidance, and best practices for scalable, secure, and responsible AI implementations.
• Collaborate with business stakeholders to identify high-value opportunities for AI-driven automation and decision intelligence.
• Establish governance, evaluation, observability, and performance monitoring frameworks for AI agents.
• Mentor engineering teams and contribute to AI capability development across the organization.

Skills

Generative AI

LLMs

Agentic AI

LangGraph

Python

MLOps

Knowledge Graphs

GraphRAG

Security & Governance

Cloud platforms

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

OpenAI Agents SDK

Neo4j

Job description

We are seeking an experienced Agentic AI Architect to lead the design, development, and deployment of next-generation AI solutions powered by autonomous agents, multi-agent systems, LLMs, RAG, Knowledge Graphs, and AI orchestration frameworks. The ideal candidate will possess a strong blend of AI/ML expertise, solution architecture skills, and hands‑on experience in delivering enterprise‑scale AI initiatives.

Responsibilities:

• Design and architect agentic AI solutions leveraging LLMs, autonomous agents, multi‑agent systems, and AI orchestration frameworks.
• Lead the development of AI‑powered workflows using platforms such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Define agent planning, reasoning, memory, tool usage, and collaboration strategies for complex enterprise use cases.
• Integrate RAG pipelines, vector databases, Knowledge Graphs, APIs, and enterprise data sources into agent ecosystems.
• Provide technical leadership, architecture guidance, and best practices for scalable, secure, and responsible AI implementations.
• Collaborate with business stakeholders to identify high‑value opportunities for AI‑driven automation and decision intelligence.
• Establish governance, evaluation, observability, and performance monitoring frameworks for AI agents.
• Mentor engineering teams and contribute to AI capability development across the organization.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 12-20 years of experience in Web development, AI/ML, data science, software engineering, or solution architecture.
• 3+ years of hands‑on experience with Generative AI and LLM‑based solutions.
• Strong experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
• Expertise in RAG, vector databases, embeddings, prompt engineering, and AI orchestration.
• Experience with cloud platforms such as Azure AI, AWS Bedrock, or Google Vertex AI.
• Proficiency in Python, APIs, MLOps, and enterprise application integration.
• Strong understanding of responsible AI, security, governance, and model evaluation.
• Experience with GraphRAG, Knowledge Graphs, Neo4j, and enterprise search solutions.
• Exposure to AI copilots, workflow automation, and intelligent process automation.
• Relevant certifications in Azure AI, AWS AI/ML, or Generative AI technologies.