Manager, Solutions Architecture — Oracle AI Software

NVIDIA is hiring a Manager, Solutions Architecture — Oracle AI Software in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on Level.

AI in this role

Lead a team of Solutions Architects driving the integration of NVIDIA's AI software stack, generative AI, and agentic AI into Oracle platforms.

nvidia-ai-softwarellms

ai-evaluationgenerative-aiinferenceagentic-aisolutions-architectureteam-management

We are looking for a candidate to join NVIDIA’s dynamic team as a Manager, Solutions Architecture for Oracle AI Software. Here, you will partner with world-class talent to encourage the integration of NVIDIA’s AI software stack and innovative technologies throughout Oracle. This opportunity is distinctively placed to impact the future of AI solutions and boost Oracle's AI capabilities. If you are enthusiastic about generative AI, inference, and agentic AI, and have shown the ability to guide technical teams, this role is perfect for you!

What you’ll be doing:

Leading and developing a high-performing team of Solutions Architects. You will prioritize tasks, provide technical mentoring, and develop an inclusive, collaborative environment.
Leading the integration and adoption of NVIDIA’s AI software stack and open-weight models within Oracle’s platforms, services, and customer solutions.
Working together with Oracle engineering and product leaders to define architectures and integration strategies for generative AI, inference, and agentic AI.
Guiding technical engagements from discovery through to production deployment, aligning achievements, resolving technical challenges, and measuring success.
Optimizing model serving for performance, latency, efficiency, scalability, and cost across enterprise workloads.
Engaging with Oracle customers to understand business needs, demonstrate technical value, and guide adoption through workshops, architecture reviews, and executive discussions.
Collaborating with NVIDIA teams to bring customer feedback into product decisions and align efforts with business priorities.

What we need to see:

BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
At least 10 overall years of experience in a technical role, with a minimum of 4 years leading people or complex technical projects.
Strong technical expertise in generative AI, including large language models, model evaluation, and deployment of open-weight models.
Practical experience with AI inference, model serving, performance optimization, and deploying workloads on accelerated computing infrastructure.
Experience building or deploying agentic AI applications, with an understanding of retrieval, tool use, orchestration, and evaluation.
Demonstrated skill in guiding technical teams, advising engineers, and completing projects that span multiple departments.
Excellent communication and interpersonal capabilities, enabling the simplification of complex technical concepts for engineers, customers, and senior management.
A customer-focused method with the ability to convert business needs into technical strategies and operational solutions.

Ways to Stand Out from the Crowd:

Experience working with Oracle, Oracle Cloud Infrastructure, or Oracle’s suite of enterprise software.
Experience leading a customer-facing Solutions Architecture or engineering team.
Hands-on experience with NVIDIA’s AI software stack, GPU acceleration, and production inference technologies.
A track record of driving technology adoption through strategic partnerships, joint engineering, or enterprise customer engagements.
Demonstrated success in optimizing AI workloads using benchmarks and achieving measurable improvements in performance, reliability, or cost.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Manager, Solutions Architecture — Oracle AI Software at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Manager, Solutions Architecture — Oracle AI Software is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $224k-$357k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 13, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationGenerative AIInferenceAgentic AISolutions ArchitectureTeam ManagementNvidia AI SoftwareLLMs

Also common in solutions architect jobs at this level

AWS Python Machine learning Azure Google Cloud SQL

Pay

This job starts at: $224k
Typical solutions architect job: $168k

This posting starts 33% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you decide that one model's output is better than another's for a given task?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where inference was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where solutions architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Evaluation, Generative AI, Inference, Agentic AI, and Solutions Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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