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Cognizant
Generative AI Lead .NET | Remote
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$166,830 / year median in the U.S.
Job Description
Generative AI Lead - .NET | Remote Cognizant - 3.8 Mission, CA Job Details Full-time $81,000 - $141,000 a year 22 hours ago Benefits Paid parental leave Employee stock purchase plan Paid holidays Disability insurance Health insurance Dental insurance 401(k) Paid time off Parental leave Vision insurance Life insurance Qualifications AI models Performance tuning Software engineering Enterprise software System performance optimization Software implementation Generative models Integration Architecture Design (Architecture design skills) Enterprise solutions implementation AI platforms (beyond public GPTs) Scalable systems .NET Enterprise software systems development Prompt engineering Microservices Technical solutions implementation Mentoring Implementing APIs Cloud Native Design Scalability Software testing Project execution Managing software development teams Implementing IT solutions Project stakeholder communication Python Design (software development lifecycle) Generative AI Cross-functional communication Consulting firm experience Full Job Description 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.