Gen AI Lead Architect

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
Bachelors/Masters in Computer Science AI or related field
38 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

with delivery team to ensure right solution is proposed to the customer

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 demoÃÂÂs 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

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

domain expertise and contribute to knowledge repository

• Engage and interact with other BAÃÂÂs 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