Gen AI Lead/ Architect

Job Title: Gen AI Lead/ Architect

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 8/5/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Role Purpose

The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer.

͏

Gen AI JD for ChevronJD: Role Overview

We are looking for a highly skilled AI Engineer specializing in Generative AI and Multi-Agent Systems to design and deploy intelligent, autonomous solutions. This role focuses on building LLM-powered, agent-driven architectures that can reason, collaborate, and execute complex workflows across enterprise systems.

You will work on cutting-edge Agentic AI frameworks, enabling systems that go beyond prediction to decision-making, orchestration, and autonomous execution.

Key Responsibilities

Design and build multi-agent AI systems capable of planning, reasoning, and task execution

Develop applications using LLMs (GPT, Claude, Llama, etc.) with advanced prompt engineering and orchestration

Implement Agentic workflows (planner executor critic memory loops)

Build RAG (Retrieval-Augmented Generation) pipelines with vector databases for enterprise knowledge grounding

Develop tool-using agents that integrate with APIs, databases, and enterprise systems

Architect and deploy AI copilots and autonomous assistants for business workflows

Optimize LLM performance using fine-tuning, prompt chaining, and caching strategies

Implement short-term and long-term memory mechanisms (vector stores, knowledge graphs)

Design multi-agent collaboration protocols (hierarchical, swarm, role-based agents)

Deploy scalable solutions using MLOps + LLMOps practices (monitoring, evaluation, guardrails)

Ensure AI safety, governance, and responsible AI practices

Required Skills & Qualifications

Bachelor’s/Master’s in Computer Science, AI, or related field

3–8 years experience in AI/ML with strong focus on Generative AI

Strong Python development skills

Hands-on experience with:

o LLMs & GenAI frameworks: OpenAI, Hugging Face Transformers

o Agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel

o RAG pipelines & vector DBs: FAISS, Pinecone, Weaviate

Experience building API-driven, tool-integrated AI agents

Strong understanding of:

o Prompt engineering & prompt optimization

o Chain-of-thought reasoning and tool augmentation

o Context management and token optimization

Experience with cloud platforms (Azure OpenAI preferred, AWS/GCP acceptable)

Knowledge of Docker, Kubernetes, CI/CD pipelines

Preferred Qualifications

Experience building multi-agent orchestration systems with role-based coordination

Exposure to agent planning algorithms (ReAct, Plan-and-Execute, Tree-of-Thought)

Experience with LLM evaluation frameworks (RAGAS, TruLens, Promptfoo)

Knowledge of graph-based reasoning / knowledge graphs

Building autonomous systems or copilots in enterprise environments

Domain experience in industrial, energy, or IoT environments

Key Competencies

Systems thinking for designing autonomous AI architectures

Strong problem decomposition for agent task design

Ability to balance latency, cost, and accuracy in LLM systems

Communication with business stakeholders to translate workflows into agent pipelines

Innovation mindset with focus on applying agentic AI in production

Tech Stack (Modern GenAI Stack)

Languages: Python

Frameworks: LangChain, CrewAI, AutoGen, Semantic Kernel

LLMs: OpenAI GPT, Azure OpenAI, Claude, Llama

•

͏

2. Engage with delivery team to ensure right solution is proposed to the customer

a. Periodic cadence with delivery team to:

Provide them with customer feedback/ inputs on the proposed solution

Review the test cases to check 100% coverage of customer requirements

Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer

Deploy and facilitate new change requests to cater to customer needs and requirements

Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback

Conduct Integration Testing and User Acceptance demo’s testing to validate implemented solutions and ensure 100% success rate

Use data modelling practices to analyze the findings and design, develop improvements and changes

Ensure 100% utilization by studying systems capabilities and understanding business specifications

Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer

b. Support Project Manager/ Delivery Team in delivering the solution to the customer

Define and plan project milestones, phases and different elements involved in the project along with the principal consultant

Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans

Ensure Customer Satisfaction through quality deliverable on time

͏

3. Build domain expertise and contribute to knowledge repository

Engage and interact with other BA’s to share expertise and increase domain knowledge across the vertical

Write whitepapers/ research papers, point of views and share with the consulting community at large

Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements

Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight

͏

Deliver

No. Performance Parameter Measure

1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated.

2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter

Mandatory Skills: Agentic AI .

Experience: 8-10 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.