Remote Generative AI Lead for .NET

Cognizant; Honolulu (HI); Remote; USD 90,000 - 141,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays/PTO

401(k) plan

Long‑term/Short‑term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Generative AI Lead – .NET to drive design and delivery of scalable software that blends .NET engineering with Generative AI capabilities. You will lead technical execution, mentor teams, and collaborate with architects to build enterprise-grade applications using Python, RAG, LangChain, LangGraph, and FastAPI.

You will design and implement AI-powered solutions, mentor developers, ensure security and performance, and communicate progress to cross-functional stakeholders in

Qualifications

• Proven hands-on development with .NET and API experience.
• Strong Python development skills and FastAPI production APIs.
• Experience designing Generative AI / Agentic AI solutions (RAG).
• Leading delivery teams with emphasis on quality, security and performance.

Responsibilities

• Lead hands-on development using .NET and Agentic AI.
• Design Generative AI solutions with Python, RAG, LangChain, LangGraph, FastAPI.
• Mentor teams and uphold engineering best practices.
• Collaborate with architects to define scalable designs.
• Translate requirements into reusable components.
• Support reviews, troubleshooting, and performance optimization.
• Evaluate new technologies for the roadmap.
• Communicate decisions and progress to stakeholders.

Skills

.NET

Python

API design

RAG/LangChain

Team leadership

Stakeholder comms

Security & performance

Client-facing delivery

Tools

FastAPI

LangChain

LangGraph

Cloud-native

Microservices

Job description

Cognizant is seeking a Generative AI Lead – .NET to drive design and delivery of scalable software that blends .NET engineering with Generative AI capabilities. You will lead technical execution, mentor teams, and collaborate with architects to build enterprise-grade applications using Python, RAG, LangChain, LangGraph, and FastAPI.

You will design and implement AI-powered solutions, mentor developers, ensure security and performance, and communicate progress to cross-functional stakeholders in