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Manager, Solutions Architecture — Oracle AI Software

NVIDIA· Mgmt, Solutions Architect
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Santa Clara, CA$224k - $431.3kfull-timePosted 1w ago

About the role

Manager, Solutions Architecture role to lead and scale a team of Solutions Architects and drive integration of NVIDIA’s AI software stack within Oracle, focusing on generative AI, inference, and agentic AI across Oracle platforms and customer solutions.

Responsibilities

  • Leading and developing a high-performing team of Solutions Architects; prioritizing tasks, providing technical mentoring, and fostering 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.

Qualifications

  • BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
  • At least 10 years of overall technical experience, 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 understanding of retrieval, tool use, orchestration, and evaluation.
  • Proven ability to guide technical teams, advise engineers, and complete cross-department projects.
  • Excellent communication and interpersonal capabilities for explaining complex concepts to engineers, customers, and senior management.
  • Customer-focused approach with ability to translate business needs into technical strategies and operational solutions.

Skills

Required:Leading and mentoring teamsGenerative AIAI inference and model servingAgentic AIArchitectures for generative AIStakeholder communication

Benefits

  • equity
  • benefits (as indicated)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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