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Senior Forward Deployed Architect, Generative AI

NVIDIA· Architect, Solutions
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Bengaluru, IndiaFull-timePosted 2w ago

About the role

NVIDIA is seeking a Forward Deployed Architect to provide technical leadership and strategic guidance across AI Accelerator engagements with AI Native organizations, NeoCloud Providers, and ISVs. The role advises on architecture and integration, defines best practices, and feeds learnings back to inform the DSX product roadmap. It focuses on specialized work beyond standard product capabilities, including new hardware enablement and scalable deployment of AI workloads.

Responsibilities

  • Cross-Account Technical Leadership. Provide architectural direction across strategic engagements where standard capabilities are not enough and advanced implementation, optimization, or integration customization is needed.
  • Outcome-Focused Implementation. Help customers integrate the right components to deliver on their outcomes. Where DSX software fits, advise on adopting it the right way. Where it doesn't, help them succeed with the right alternative and bring the gap back to product and engineering.
  • Hands-On Technical Leadership. Dive into complex technical challenges hands-on when needed to solve critical problems, validate architectures, or prove out solutions.
  • Strategic Initiative Ownership. Lead technically demanding programs end to end, including third-party performance benchmarking across hardware and workloads.
  • Pattern Identification and Knowledge Sharing. Identify common challenges and solution patterns across engagements. Share findings with internal teams and the broader AI community.
  • Technical Standardization. Develop standardized approaches, reference architectures, and structured guidance rooted in patterns from successful engagements.
  • Cross-Functional Collaboration. Partner with product, engineering, and other customer-facing NVIDIA teams so what we learn in the field informs internal strategy and capabilities.
  • Strategic Architecture. Design technical strategies for advanced AI workloads (distributed training, large-scale inference, model and pipeline optimization, MLOps) that apply across multiple customers and partners.
  • New Hardware Enablement. Help develop new infrastructure patterns and playbooks for the latest NVIDIA hardware as it lands with customers and partners.

Qualifications

  • Bachelors degree or equivalent experience.
  • 10+ years in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting across multiple customers or projects. Alternatively, 5+ years of specialist-level experience at the frontier of AI infrastructure.
  • Strong technical leadership with the ability to guide teams and influence technical decisions without direct authority.
  • Systems thinking with the ability to understand customer outcomes and translate them into clear technical requirements and architectures.
  • Willingness to prototype, implement, validate, and troubleshoot hands-on when needed to solve critical problems or prove out approaches.
  • Solid technical foundation in technologies AI infrastructure is built on, especially Linux systems administration.
  • Self-directed learner capable of ramping on brand new technologies and unfamiliar domains independently.
  • Strong communication skills to engage technical teams, executives, and cross-functional collaborators.

Skills

Required:Cross-Account Technical LeadershipSystems ThinkingHands-On Problem SolvingLinux Systems AdministrationCommunication and CollaborationTechnical Leadership
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

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

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