Senior Solutions Architect, Agentic AI

Details

NVIDIA is hiring a Senior AI Engineer / Solutions Architect to lead partner enablement efforts for agentic and generative AI. The role is both strategic and hands-on: you will build proof-of-concept solutions and reference architectures that demonstrate NVIDIA's accelerated Generative AI platform (GPU systems, CUDA, NeMo, Triton) and provide partners with technical blueprints and guidance to architect and deploy production-grade AI agent solutions.

Responsibilities

• Build end-to-end agentic AI applications solving real-world enterprise problems across industries.
• Serve as the primary technical domain expert for pre- and post-sale partner engagements; embed with partners to design and deploy Generative AI solutions and drive adoption of NVIDIA GenAI platforms.
• Accelerate partner/customer time-to-value by providing repeatable reference architectures, building hands-on prototypes, and advising on methodologies to scale solutions into production.
• Define scopes, success metrics, and evaluation criteria for partner-led customer projects, ensuring standardized and reproducible GPU-accelerated workflows.
• Enable strategic partners to launch Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact workloads; proactively drive deeper product adoption and utilization.
• Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.

Requirements

• MS or PhD in Computer Science/Engineering, Machine Learning, Data Science, Electrical Engineering, or a closely related field — or equivalent experience.
• 8+ years of meaningful work experience deploying AI models at scale as a Software Engineer or Deep Learning Engineer.
• Consistent track record building enterprise-grade agentic AI systems using open-source models and a solid foundation in deep learning, with emphasis on generative models.
• Hands-on experience with LLM and agentic frameworks, e.g., NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen, and with evaluation and observability platforms. Comfortable building prototypes and proofs of concept.
• Strong coding proficiency in Python and C++ and experience with deep learning frameworks (PyTorch or TensorFlow).
• Familiarity with NVIDIA full AI stack and GPU-acceleration components (CUDA, Triton) and with inference-at-scale practices.
• Excellent communication and presentation skills to collaborate with internal executives, partners, and customers.

Preferred / Ways to stand out

• Expertise in NeMo Framework, NeMo Agent Toolkit, inference at scale, NIMs, and AI Blueprints.
• Experience taking end-to-end ownership of projects and rapidly acquiring domain skills.
• Ability to excel in fast-paced environments, managing multiple workstreams and prioritizing high-impact outcomes.
• Understanding of advanced agent architectures and inter-agent communication protocols (MCP or Google A2A).
• Knowledge of NVIDIA GPUs and system software stacks that optimize them (e.g., NCCL, CUDA) and HPC technologies such as InfiniBand, MPI, NVLink.

Compensation & Benefits

• Base salary range: 184,000 USD - 287,500 USD (determined by location, experience, and market benchmarking).
• Eligible for equity and NVIDIA benefits (see company benefits page).
• Applications accepted through at least August 17, 2025.

Diversity & Equal Opportunity

NVIDIA is committed to a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of any legally protected characteristic.