Generative AI Lead – .NET | Remote

Cognizant; Dover; Remote; USD 81,000 - 141,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus PTO

Long‑term/Short‑term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a hands-on Generative AI Lead to design and deliver scalable .NET software blending enterprise engineering with AI capabilities.

You will guide cross-functional teams, mentor developers, and drive architectural decisions while collaborating with stakeholders to build maintainable solutions using Python, FastAPI, and RAG-based approaches.

Qualifications

• Proven hands-on software development experience with .NET technologies.
• Strong Python development skills and experience building production-ready APIs with FastAPI.
• Experience designing or implementing Agentic AI and Generative AI solutions.
• Hands-on experience with Retrieval-Augmented Generation (RAG), LangChain, and LangGraph.
• Experience designing scalable, maintainable, enterprise-grade software architectures.
• Demonstrated ability to lead technical delivery and mentor software development teams.
• Knowledge of cloud-native application development, microservices, and API integration patterns.
• Familiarity with large language models, vector search, prompt engineering, and responsible AI practices.
• Experience working in client-facing or consulting delivery environments.

Responsibilities

• Lead the hands-on development and implementation of software projects using .NET and Agentic AI technologies.
• Design and build Generative AI solutions using Python, RAG, LangChain, LangGraph, and FastAPI.
• Provide technical guidance and mentorship to development teams while promoting engineering best practices.
• Collaborate with architects and technical leaders to define scalable, secure, and maintainable designs.
• Translate business and technical requirements into clear implementation approaches and reusable components.
• Support technical reviews, troubleshooting, and performance optimization throughout the lifecycle.
• Evaluate emerging technologies and incorporate into the engineering roadmap.
• Communicate technical decisions, risks, and progress to cross-functional stakeholders.

Skills

.NET

Python

FastAPI

Agentic AI

Generative AI

RAG

LangChain

LangGraph

APIs

Microservices

Tools

LangChain

LangGraph

FastAPI

Job description

Generative AI Lead – .NET | Remote

We are seeking a hands‑on Lead Agentic AI to drive the design and delivery of scalable software solutions that combine .NET engineering with modern Generative AI capabilities. This role will lead technical execution, guide development teams, and collaborate with architects and stakeholders to build maintainable, enterprise‑ready applications using Python, Retrieval‑Augmented Generation (RAG), LangChain, LangGraph, and FastAPI.

• Lead the hands‑on development and implementation of software projects using .NET and Agentic AI technologies.
• Design and build Generative AI solutions using Python, RAG, LangChain, LangGraph, and FastAPI.
• Provide technical guidance and mentorship to development teams while promoting engineering best practices and high‑quality delivery standards.
• Collaborate with architects and technical leaders to define scalable, secure, and maintainable solution designs.
• Translate business and technical requirements into clear implementation approaches and reusable software components.
• Support technical reviews, troubleshooting, performance optimization, and continuous improvement throughout the development lifecycle.
• Evaluate emerging technologies and incorporate appropriate capabilities into the engineering roadmap.
• Communicate technical decisions, risks, and progress clearly to cross‑functional stakeholders.

Required Qualifications

• Proven‑hands‑on software development experience with .NET technologies.
• Strong Python development skills and experience building production‑ready APIs with FastAPI.
• Practical experience designing or implementing Agentic AI and Generative AI solutions.
• Hands‑on experience with Retrieval‑Augmented Generation (RAG), LangChain, and LangGraph.
• Experience designing scalable, maintainable, and enterprise‑grade software architectures.
• Demonstrated ability to lead technical delivery and mentor software development teams.
• Strong understanding of software engineering best practices, including code quality, testing, security, and performance optimization.
• Excellent collaboration, problem‑solving, and stakeholder communication skills.
• Experience integrating AI capabilities into .NET‑based enterprise applications.
• Knowledge of cloud‑native application development, microservices, and API integration patterns.
• Familiarity with large language models, vector search, prompt engineering, and responsible AI practices.
• Experience working in client‑facing or consulting delivery environments.

Why Apply?

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation

The annual salary for this position is between $81K – $141K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term/Short‑term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Important Disclaimers

Please note: A few of our roles may require in‑person interviews at Cognizant offices or client locations, depending on project or client needs.

Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Application Deadline

Applications for this position will be accepted until 9/28/2026. Candidates are encouraged to apply as early as possible, as the posting may close sooner if a sufficient pool of qualified applicants is identified.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.