Job SummaryWe are seeking technical and experienced AI Agentic Solutions Architects to join our advanced technology group. This role is dedicated to the hands-on design, development, and deployment of sophisticated Agentic AI solutions. You will be responsible for executing complex Proof of Concepts (PoCs) that demonstrate cutting-edge AI capabilities for our key customers. The role requires building and optimizing AI agents on high-performance Nvidia-based GPU infrastructure (including A100 and H100 systems) and leveraging Cognizant's proprietary ATK platform. The ideal candidate is a hands-on architect with a strong background in MLOps and extensive experience with modern agentic frameworks, advanced data semantics, and the Nvidia AI ecosystem.Key Responsibilities • Architect, build, and optimize multi-agent AI solutions using frameworks like LangChain, LlamaIndex, and AutoGen. • Design and implement complex data ingestion and processing pipelines, ensuring robust data semantics for Retrieval-Augmented Generation (RAG) architectures. • Develop and fine-tune Large Language Models (LLMs) and other foundational models using the Nvidia NeMo framework. • Deploy and manage high-throughput, low-latency model inference services using Nvidia Triton Inference Server. • Conduct performance profiling and optimization of AI workloads on Nvidia A100 and H100 Tensor Core GPUs. • Integrate and manage specialized vector databases such as Milvus, Pinecone, and Weaviate for high-dimensional data indexing and search. • Leverage Cognizant's ATK platform to orchestrate complex agentic workflows and ensure seamless integration with enterprise systems. • Collaborate with infrastructure teams to ensure optimal configuration of Kubernetes clusters for GPU-accelerated workloads.Required Skills and Experience • Agentic Frameworks: Minimum 2+ years of hands-on experience with LangChain and/or LlamaIndex. Demonstrable ability to build complex chains, tools, and autonomous agents. • Vector Databases: Proven expertise in deploying and managing at least one of the following: Milvus, Pinecone, Weaviate, or ChromaDB. Deep understanding of embedding models, indexing strategies (e.g., HNSW, IVF), and semantic search. • Nvidia Software Stack: • Nvidia Triton Inference Server: Hands-on experience deploying and scaling models for production. • Nvidia NeMo: Experience in training or fine-tuning models. • CUDA/cuDNN: Strong understanding of the CUDA programming model and library ecosystem for GPU acceleration. • Nvidia Hardware Stack: Demonstrable experience working with and optimizing for Nvidia A100 or H100 GPUs. Familiarity with concepts like Multi-Instance GPU (MIG) is highly desirable. • ML Frameworks & MLOps: Expert-level proficiency in Python and PyTorch. Strong experience with MLOps principles and tools, including containerization with Docker and orchestration with Kubernetes. • Problem-Solving: Advanced analytical and debugging skills for complex, distributed AI systems.Preferred Qualifications • Experience with advanced RAG techniques, including re-ranking and query transformation. • Familiarity with Nvidia's full enterprise software suite. • Experience in a customer-facing role, delivering technically complex PoCs or solutions. • Active contributions to open-source projects in the AI/ML ecosystem. 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.