Senior Staff Forward Deployed Engineer, Enterprise AI and Automation

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Staff Forward Deployed Engineer to drive Enterprise AI transformation across our organization. You will partner with business teams to identify opportunities, design and deploy production AI solutions, and deliver measurable business impact.

You will own end-to-end delivery, architect scalable systems using Python, TypeScript, PostgreSQL, Milvus, and Kubernetes, and mentor engineers to ensure reliability, security, and value across domains such as Supply Chain, IT Ops,

Qualifications

• BS, MS in Computer Science or related field with 12+ years of experience building and operating production software systems.
• Proven track record from ambiguous problem through architecture to long-term operation with end-to-end ownership.
• Experience building production AI applications using LLMs, agentic architectures, RAG, tooling, and workflows.

Responsibilities

• Own technical delivery for enterprise domains from discovery to deployment and adoption.
• Design, build, and operate full-stack AI systems using Python, TypeScript, PostgreSQL, Milvus, and Kubernetes.
• Prototype new AI capabilities, validate with users, and iterate based on feedback while maintaining production standards.
• Measure adoption, reliability, and business impact; establish testing, observability, and CI/CD practices.

Skills

LLMs

Agentic architectures

RAG

Workflow orchestration

Tool use

Memory

Evaluation systems

Guardrails

Automation

Architecture leadership

Cross-functional leadership

Education

BS/MS in CS or related field

Tools

Kubernetes

PostgreSQL

Milvus

Python

TypeScript

OpenAI APIs

Job description

NVIDIA's invention of the GPU fueled the AI revolution and transformed how the world builds intelligent systems. Today, NVIDIA is transforming how AI accelerates every aspect of our own business. Our Enterprise AI organization develops production-grade AI agents and intelligent applications that improve engineering productivity. We are seeking a Senior Staff Forward Deployed Engineer to drive Enterprise AI transformation across NVIDIA. In this highly technical, hands-on leadership role, you will partner directly with business organizations to identify high-impact opportunities, design and build production AI solutions, and drive enterprise adoption that delivers measurable business outcomes.

What You'll Be Doing

• Own technical delivery for enterprise domains such as Supply Chain, IT Operations, Site Reliability, Network Infrastructure, Finance, HR, and Security, leading solutions from business discovery and architecture through development, deployment, adoption, and continuous improvement.
• Design, build, and operate full-stack AI systems using Python, TypeScript, PostgreSQL, vector databases such as Milvus, and Kubernetes. Integrate commercial and open-weight language and multimodal models through standard and OpenAI-compatible APIs, selecting models based on capability, quality, latency, cost, security, and operational requirements.
• Rapidly prototype new AI capabilities, validate them with users, and translate real-world feedback into intuitive, high-quality products while maintaining production engineering standards.
• Own the production success of deployed solutions by measuring adoption, evaluation results, reliability, operational performance, and business impact while establishing strong practices for testing, observability, CI/CD, security, performance, and operational readiness.
• Identify reusable patterns across business domains and work with platform engineering teams to turn successful deployments into shared Enterprise AI services and frameworks that inform broader strategy and architecture.
• Use AI-assisted development tools extensively while remaining accountable for architecture, implementation quality, testing, code review, security, and maintainability. Provide technical leadership through architectural guidance, mentoring, and scalable engineering practices.

What We Need to See

• BS, MS, or equivalent experience in Computer Science, Software Engineering, or a related field, with 12+ years of experience building and operating complex, large-scale production software systems.
• Proven track record to take products from ambiguous problem definition through architecture, prototyping, productionization, and long-term operation, with clear end-to-end ownership of technical and business outcomes.
• Strong software engineering skills and the ability to contribute across the application stack while making sound architectural tradeoffs around scalability, reliability, performance, security, maintainability, and development velocity.
• Hands-on experience building production AI applications using LLMs, agentic architectures, RAG, tool use, workflow orchestration, memory, evaluation systems, guardrails, or intelligent automation. This role emphasizes building complete AI-powered products and systems rather than model research or experimentation in isolation.
• Strong product and user-experience judgment, including the ability to turn complex technologies and workflows into intuitive, high-quality products that users trust and adopt.
• Demonstrated success working directly with business partners to understand complex requirements, translate ambiguous problems into scalable technical solutions, and deliver measurable business impact.
• Deep technical leadership, architectural judgment, and communication skills, with a track record of influencing engineering strategy and collaborating effectively across engineering, product, and business teams.
• Ability to quickly learn new business domains and become a trusted technical partner for enterprise organizations.

Ways to Stand Out from the Crowd

• Experience delivering AI solutions for enterprise business domains such as Supply Chain and IT Operations.
• Experience deploying multi-agent systems, enterprise AI assistants, workflow automation platforms, AI copilots, or autonomous business processes into production environments.
• Hands-on experience with NVIDIA AI technologies including Nemotron, NIM, NeMo Agent Toolkit, AI Blueprints, or other NVIDIA AI software platforms.
• Experience building reusable frameworks, platforms, or shared engineering capabilities that enable multiple products, business domains, or organizations.
• Demonstrated fluency with AI-assisted development tools and coding agents, with a self-directed builder attitude and a track record of rapidly turning ideas into working prototypes while maintaining strong standards for architecture, testing, security, code review, and maintainability.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 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.