Key Responsibilities** · Build AI/ML proof-of-concept applications rapidly based on client-identified use cases · Develop agentic AI workflows (single and multi-agent) using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI · Integrate LLMs via APIs (OpenAI, Azure OpenAI, Anthropic) to power intelligent, task-driven solutions · Implement RAG pipelines using vector databases (FAISS, ChromaDB, Pinecone) where applicable · Work with synthetic datasets to simulate real-world business scenarios · Present POC outputs through lightweight demo interfaces or structured notebooks · Maintain a shared repository of reusable POC components for the team **Required Skills** · Strong Python programming skills · Hands-on knowledge of LLMs, prompt engineering, and API integration · Experience with at least one agentic AI framework (LangChain, AutoGen, CrewAI, etc.) · Familiarity with RAG architectures and vector databases · Exposure to cloud platforms (Azure, AWS, or GCP) is a plus **Qualifications** · Applicants must be pursuing a bachelor's or master's degree with an expected graduation date of May 2026 or December 2026 or have obtained a degree within the previous 12 months. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field · A strong GitHub portfolio or project work in applied AI/ML will be given significant weightage · Ability to work creatively and analytically in a problem-solving environment · Excellent written and verbal communication · Proven capabilities in teamwork and leadership · A strong interest in technology and digital modernization · Self-motivated, strong work ethic with a dedication to client service excellence · Ability to work as part of a cross-cultural team, including flexibility to support multiple time zones when necessary · Proven Microsoft Office skills including Excel, Word, and PowerPoint **Location and Onsite Requirements** Associates will be assigned to a Cognizant office in one of the following locations: · Plano, Texas · Teaneck, New Jersey Associates are expected to work onsite at their assigned office location up to five days per week.