Senior Staff Enterprise AI Forward-Deployed Engineer

NVIDIA

Santa Clara (CA)

On-site

USD 224,000 - 357,000

Full time

14 days+
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Job summary

NVIDIA's Enterprise AI organization seeks a Senior Staff Forward Deployed Engineer to drive transformation by embedding with internal teams and shaping enterprise AI strategy. You will design and build production AI solutions using Python, TypeScript, PostgreSQL, Milvus, and Kubernetes, while mentoring engineers and evolving reusable platform capabilities.

This role emphasizes end-to-end delivery, strong architecture, and measurable business impact, with equity and benefits accompanying the base

Qualifications

  • BS, MS or equivalent in CS/Software Eng with 12+ years in production software.
  • End-to-end ownership from architecture to deployment and operation.
  • Strong software engineering across the stack with scalability and security focus.
  • Hands-on experience building production AI applications using LLMs and agentic architectures.

Responsibilities

  • Own technical delivery for enterprise domains from discovery to deployment and adoption.
  • Design, build, and operate full-stack AI systems with Python, TypeScript, PostgreSQL, Milvus, and Kubernetes.
  • Prototype new AI capabilities, validate with users, translate feedback into products.
  • Ensure production success with monitoring, testing, CI/CD, security and reliability.
  • Identify reusable patterns and collaborate with platform teams to create shared services.
  • Provide technical leadership through architecture guidance and mentorship.

Skills

LLMs
Agentic architectures
System architecture
Production AI apps

Education

BS/MS in Computer Science or related field

Tools

Python
TypeScript
PostgreSQL
Milvus
Kubernetes

Job description

NVIDIA's Enterprise AI organization seeks a Senior Staff Forward Deployed Engineer to drive transformation by embedding with internal teams and shaping enterprise AI strategy. You will design and build production AI solutions using Python, TypeScript, PostgreSQL, Milvus, and Kubernetes, while mentoring engineers and evolving reusable platform capabilities.

This role emphasizes end-to-end delivery, strong architecture, and measurable business impact, with equity and benefits accompanying the base

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