Used Tools & Technologies
LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Leadership @ 3
Mathematics @ 3
Technical Leadership @ 3
GPU @ 6
AI @ 3
Agentic AI @ 3
RAG @ 3
HPC @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA is looking for a Manager of Solutions Architecture team to lead our technical engagement with the GSIs and premier AI consulting firms. This leadership role requires a rare blend of deep technical expertise in Agentic AI and the strategic foresight to build world-class technical partnerships. You will lead a team working on NVIDIA AI Factories to help GSIs build, scale and monetize Agentic AI services and encourage partners to reimagine, reinvent, and operate enterprises using NVIDIA's platform.
Responsibilities
- Lead and grow a high-performing team of Solution Architects: provide clarity on mission and strategy, technical guidance, career development and resource allocation to meet GSI team objectives.
- Partner with GSI leadership to build dedicated NVIDIA AI centers of excellence and ensure partners integrate NVIDIA AI platform into their core offerings.
- Collaborate with NVIDIA product, engineering and business development leadership to align partner feedback with internal product groups and help create an effective go-to-market.
- Represent NVIDIA at the C-suite level within GSIs, articulating the business value of full-stack AI acceleration and the transition to Agentic enterprise models.
- Provide architectural oversight as the technical authority for sophisticated, multi-step Agentic AI workflows, ensuring scalability, performance and security for business use cases.
Requirements
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
- 8+ years of overall experience, with 3+ years specifically in technical leadership or management of Solutions Architecture/engineering teams.
- Proven expertise in Generative or Agentic AI, Retrieval-Augmented Generation (RAG) and orchestration of LLMs; comfortable understanding development platforms that use coding agents.
- Deep understanding of data centers and AI/HPC full-stack infrastructure, specifically GPU-accelerated computing at scale.
- Exceptional ability to communicate complex technical concepts to both engineering teams and non-technical business executives.
Ways to stand out
- Experience managing technical relationships with top-tier GSIs (Accenture, Deloitte, etc.).
- Direct experience building and deploying Agentic AI applications.
- Track record of leading technical teams through rapid technology pivots.
- Proven ability to manage distributed teams across multiple time zones and cultures.
- Willingness and ability to tackle unfamiliar territories to solve complex problems and be a phenomenal listener.
Compensation & Benefits
- Base salary range: 224,000 USD - 356,500 USD (base determined by location, experience, and internal pay equity).
- Eligible for equity and benefits (company benefits and equity referenced in the posting).
Additional notes from posting:
- Applications accepted at least until May 2, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and affirms a commitment to diversity and nondiscrimination.