1 day ago
Base Salary
$200k - $322k/yr
Responsibilities
- Define the technical strategy and reference architecture for agentic AI across enterprise IT, including runtimes, tool interfaces, memory, context management, orchestration, evaluation, and safety guardrails.
- Architect and personally build production LLM-based agent systems using tool calling, RAG, and orchestration frameworks for employee support, endpoint services, and IT support operations.
- Design autonomous agents for complex enterprise workflows with approvals, vendor handoffs, data reconciliation, exception handling, and human-in-the-loop controls.
- Own the integration and automation platform spanning ServiceNow, ERP and procurement systems, endpoint-management platforms, infrastructure, data pipelines, APIs, and user-facing applications.
- Establish standards for prompt and tool versioning, offline and online evaluations, regression suites, cost and latency budgets, security, data governance, and failure-mode analysis.
- Drive architectural alignment across engineering, platform, security, product, and senior leadership without formal authority.
- Mentor senior and staff engineers through design partnership, code review, and technical coaching.
Requirements
- Bachelor’s or Master’s degree in a related field, or equivalent experience.
- 12+ years of hands-on software engineering experience building and operating production systems at scale.
- Deep expertise in at least one of Infrastructure, SRE, DevOps, Platform, or Production Engineering.
- Demonstrated Senior Staff-level impact through architecture decisions spanning multiple organizations and ownership of difficult technical problems.
- Experience designing and shipping production integrations, automation platforms, APIs, and data pipelines for complex enterprise operations.
- Production experience with agentic AI or LLM-based systems, including autonomous execution, tool calling, RAG, human-in-the-loop safeguards, exception handling, evaluation, and governance.
- Experience modernizing enterprise IT operations platforms, including asset management, endpoint services, IT supply chain, or infrastructure operations.
- Production-grade proficiency with infrastructure-as-code, CI/CD, containerization, Kubernetes, and at least one major cloud platform.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or PagerDuty.
- Fluency in Python, Go, or equivalent programming languages for production-quality software development.
- Demonstrated ability to grow senior engineers and establish durable engineering practices.
- Ability to drive technical direction across engineering, product, and senior leadership and communicate complex trade-offs to VP and C-level audiences.
- Preferred qualifications include experience defining enterprise agentic AI or automation platform strategy, building agent orchestration or evaluation infrastructure, designing event-driven or workflow-orchestration systems, working deeply with ServiceNow or comparable ITSM/ERP platforms, and having open-source contributions, patents, publications, or conference talks.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until November 2, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.