This role pays more than
92%
of similar roles. Most pay
$171,125–$246,150
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Staff Forward Deployed Engineer, Enterprise AI and Automation joins the Enterprise AI organization to drive internal transformation through production-grade AI agents and intelligent applications. This role involves partnering with business units like Supply Chain, IT Operations, and Finance to identify high-impact opportunities, design architectures, and build full-stack systems. You will develop solutions using Python, TypeScript, PostgreSQL, and Milvus vector databases while integrating multimodal models via standard or OpenAI-compatible APIs. The work focuses on solving complex operational challenges by building agentic architectures, RAG, tool use, and workflow orchestration to improve engineering productivity. You will translate real-world feedback into high-quality products while establishing standards for CI/CD, security, and observability. By identifying reusable patterns across domains, you will convert successful deployments into shared enterprise services that accelerate innovation and provide technical leadership through mentoring and architectural guidance.
What does a Forward Deployed Engineer earn?
Median $215000 from 45 postings across 23 companies.
Lead the end-to-end technical delivery of production AI solutions for diverse enterprise domains like Supply Chain, Finance, and HR.
Design, build, and operate full-stack AI systems using Python, TypeScript, PostgreSQL, vector databases, and Kubernetes.
Integrate and optimize commercial and open-weight language models via standard and OpenAI-compatible APIs.
Rapidly prototype new AI capabilities and translate user feedback into high-quality products that meet production standards.
Establish robust practices for testing, observability, CI/CD, security, and performance for all deployed solutions.
Identify reusable patterns from successful deployments to create shared enterprise services and frameworks.
Provide technical leadership through architectural guidance, mentoring, and the establishment of scalable engineering practices.
What we're looking for
BS, MS, or equivalent experience in Computer Science, Software Engineering, or a related field.
12+ years of experience building and operating complex, large-scale production software systems.
Proven track record of taking products from ambiguous problem definitions through architecture, prototyping, and long-term operation.
Strong full-stack engineering skills with ability to make architectural tradeoffs regarding scalability, reliability, performance, security, and maintainability.
Hands-on experience building production AI applications using LLMs, agentic architectures, RAG, tool use, and workflow orchestration.
Demonstrated success working with business partners to translate complex requirements into scalable technical solutions and measurable impact.
Experience delivering AI solutions for enterprise domains like Supply Chain or IT Operations (preferred).
Hands-on experience with NVIDIA AI technologies such as Nemotron, NIM, or NeMo Agent Toolkit (preferred).
Remote (Chicago, IL)+446 days ago
$150,000–$280,000
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