NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, we are leading the charge in AI governance and security, crafting solutions that make significant impacts on enterprise environments. As a Senior Solution Architect for AI Governance & Security, you will be part of an exceptionally talented team that is at the forefront of AI innovation. Your role is pivotal in helping our customers navigate the complexities of deploying AI in regulated environments, making this opportunity truly outstanding.
What you'll be doing:
Drive technical engagements with enterprise customers and partners, ensuring NVIDIA's security and governance solutions are seamlessly coordinated within their AI deployments.
Lead discovery sessions, build solution architectures, deliver impactful demonstrations, and craft detailed technical proposals.
Build positive relationships with engineering leads, security architects, DevSecOps teams, and compliance officers by providing clear and accurate information about NVIDIA's stack.
Translate NVIDIA’s platform capabilities into practical deployment requirements, addressing data residency, access control, audit logging, and regulatory needs.
Build and implement NVIDIA-backed deployment architectures tailored to customer requirements, combining components like OpenShell, NeMo Guardrails, NIM inference, and Confidential Computing.
Build reusable solution materials including reference architectures, integration guides, and demo environments to aid the broader EMEA field team.
Keep informed about EU AI Act regulations and align NVIDIA platform features with compliance inquiries from regulated enterprise purchasers.
Represent NVIDIA at technical workshops, developer days, and ecosystem events, providing deep platform insights and gathering valuable feedback for continuous improvement.
What we need to see:
3+ years in a customer-facing technical role such as solutions architect, pre-sales engineer, technical account management, or technical consultant.
B.Sc. or M.Sc. in Cybersecurity, Computer Science, or a related field, or an equivalent combination of relevant professional expertise and industry-recognized certifications.
Hands-on experience with AI and ML platform architecture, including inference pipelines, agent frameworks, and orchestration layers in real deployments.
Applied security awareness, with the ability to read and explain vulnerability dashboards and understand sandboxing, guardrails, access control, and audit logging.
Experience in enterprise compliance and governance conversations, having navigated concerns raised by legal or security teams and provided constructive answers.
Strong communication skills, capable of engaging with both framework engineers and high-level executives in a variety of technical discussions.
Proficiency in Python and familiarity with modern deployment tooling, including containers, Kubernetes, and cloud-native patterns.
Ways to stand out from the crowd:
Experience with NVIDIA AI Enterprise, NIM, or NeMo Guardrails in a deployment context.
Background in supporting procurement cycles in regulated European industries such as financial services, healthcare, or public sector.
Familiarity with MCP, A2A, or agentic frameworks, enabling effective engagement with partner engineering teams.
Practical knowledge of the EU AI Act, having assisted customers in managing its requirements in real AI implementations.
Proven ability to build and deliver technical enablement content such as reference architectures, workshops, demo environments, and integration guides.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills Required
- 3+ years in a customer-facing technical role (solutions architect, pre-sales engineer, technical account management, or technical consultant)
- B.Sc. or M.Sc. in Cybersecurity, Computer Science, or related field, or equivalent professional expertise/certifications
- Hands-on experience with AI/ML platform architecture including inference pipelines, agent frameworks, and orchestration layers in real deployments
- Applied security awareness: vulnerability dashboards, sandboxing, guardrails, access control, and audit logging
- Experience in enterprise compliance and governance conversations with legal or security teams
- Strong communication skills for technical and executive audiences
- Proficiency in Python and familiarity with containers, Kubernetes, and cloud-native deployment patterns
- Experience with NVIDIA AI Enterprise, NIM, or NeMo Guardrails in deployment contexts
- Background supporting procurement cycles in regulated European industries (financial services, healthcare, public sector)
- Familiarity with MCP, A2A, or agentic frameworks
- Practical knowledge of the EU AI Act and assisting customers with compliance
- Proven ability to build technical enablement content: reference architectures, workshops, demo environments, integration guides
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”









