Senior Solutions Architect, Agentic AI

at Nvidia
USD 184,000-287,500 per year
SENIOR
βœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 7 Machine Learning @ 4 Data Science @ 4 TensorFlow @ 7 Communication @ 4 LLM @ 4 PyTorch @ 7 CUDA @ 4 GPU @ 4

Details

NVIDIA is seeking an outstanding Senior AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Agentic AI. In this role you will lead by example, acting as both a strategic technical expert and a hands-on developer. You will directly build innovative proof-of-concept solutions and reference architectures for innovative AI agents, demonstrating the full power of the NVIDIA accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using the NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Triton.

The Generative AI Partners Enablement SA team is dedicated to applying next-generation technologies to solve customer problems. We act as trusted advisors and technical partners to our ecosystem. As a member of the NPN Generative AI Solution Architecture team, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. You will apply accelerated computing and AI to solve category-defining systems and production-grade AI solutions at scale.

Responsibilities

  • Build end-to-end agentic AI applications that solve real-world enterprise problems across various industries.
  • Serve as the primary technical domain expert for pre- and post-sale for partners; embed deeply with partners to design and deploy Generative AI solutions.
  • Build hands-on prototypes and repeatable reference architectures to accelerate partner/customer time to value and drive adoption of NVIDIA GenAI platforms.
  • Define scope, 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 customer workloads.
  • Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.

Requirements

  • MS or PhD degree 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 of building enterprise-grade agentic AI systems using open-source models; strong foundation in deep learning with emphasis on generative models.
  • Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation/observability platforms. Comfortable building prototypes or proofs of concept.
  • Strong coding proficiency in Python and C++ and experience with deep learning frameworks (PyTorch or TensorFlow).
  • Familiarity with NVIDIA GPUs and system software stacks (CUDA, NCCL) and HPC technologies such as InfiniBand, MPI, NVLink is desirable.
  • Excellent communication and presentation skills to collaborate with internal executives, partners, and customers.

Preferred / Ways to Stand Out

  • Expertise in building applications and systems using NeMo Framework, inference at scale, NIMs, and AI Blueprints.
  • Experience taking end-to-end ownership of projects and rapidly acquiring new skills.
  • Ability to excel in fast-paced environments, managing multiple workstreams and prioritizing for highest customer impact.
  • Understanding of advanced agent architectures and emerging communication protocols (e.g., MCP or Google A2A).
  • Deep experience optimizing NVIDIA GPUs and system software stacks (e.g., NCCL, CUDA) and HPC interconnects.

Benefits

  • Base salary range: 184,000 USD - 287,500 USD (final base salary determined by location, experience, and pay of employees in similar positions).
  • Eligibility for equity and benefits (see https://www.nvidia.com/en-us/benefits/).
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.

Additional Information

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Application window: Applications for this job will be accepted at least until September 21, 2025.