Summary: We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM, and foundational models .The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.Responsibilities:· Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.· Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.· Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.· Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.· Develop and maintain clear and concise documentation of generative AI models, processes, and results.· Communicate complex concepts and results to both technical and non-technical stakeholders.· Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.· Lead the development and deployment leveraging large language models (LLMs) , MCP Server and agentic frameworks such as MAF, Autogen or CrewAI.· Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.Requirements:· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.· Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.· Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.· Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).· Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.· Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.· Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.· Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.· Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.· Experience with cloud deployments, containerization, and orchestration of AI models. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.