NVIDIA Corporation

Senior Agentic Insights Engineer

NVIDIA Corporation • $184K — $287K *
Santa Clara, CA 95051In-Person
Enterprise Technology
11 - 15 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 12+ years in data/analytics engineering, BI development, or applied AI/ML engineering.
  • Experience with building agentic AI workflows in production environments.
  • Familiarity with modern lakehouse platforms like Databricks.
  • Strong analytical skills to validate AI outputs against data sources.
  • Proven capability to translate data insights into actionable business recommendations.
  • Experience integrating delivery mechanisms in enterprise collaboration tools like Slack or Microsoft Teams.
  • Ability to work autonomously as the main technical builder on a small team.

Responsibilities

  • Develop conversational analytics agents for IT portfolio data using MCP or equivalent standards.
  • Architect delivery systems for insights in collaboration tools like Slack and Microsoft Teams.
  • Implement an agent-output validation layer to ensure accuracy before leadership review.
  • Transform agent outputs into clear operational recommendations for executives.
  • Manage executive insights reporting and link at-risk statuses to specific recommendations.
  • Collaborate with Planning & Portfolio Management to prioritize actionable proposals.
  • Apply data storytelling techniques to ensure insights are audience-specific and actionable.

Benefits

  • Equity options as part of the compensation package.
  • Comprehensive health benefits.
  • Flexible work environment to support work-life balance.
Full Job Description
We9re looking for a Senior Agentic Insights Engineer to be the hands-on technical builder behind this transformation. In this role, you9ll develop and operate the agentic infrastructure that generates insights. You will also apply your judgment to ensure every recommendation is accurate before it reaches a leader9s inbox. What makes this role outstanding? It blends production-level agentic AI engineering with direct responsibility for the operational recommendations that leadership implements within the same week. You9ll collaborate closely with our Planning & Portfolio Management and Enterprise Data Warehousing teams, using governed data to develop the insight and delivery layer on top. If you9re energized by building AI systems that compose real executive decisions - not just dashboards that sit on a shelf - this is your role.

What you9ll be doing:
  • Develop conversational analytics agents tailored to IT portfolio and program data. Link these agents to enterprise data platforms via the Model Context Protocol (MCP) or equivalent open agent-tooling standards for reliable data retrieval.
  • Architect scheduled-push delivery mechanics for persona-based insights in Slack and Microsoft Teams, demonstrating native platform capabilities where available and building custom integrations where they fall short.
  • Define and implement the agent-output validation layer. It catches incorrect, ungrounded, or hallucinated results before they reach leadership. This shifts the team9s reporting from manual dashboard authorship to agentic tooling.
  • Transform grounded agent output into clear operational recommendations. Explain what changed, why it matters, and the specific action a portfolio owner or executive should take. Deliver results in days, not sprint cycles.
  • Manage the CIO executive insights digest and Planning & Portfolio Management reporting rhythm, linking each 44;at risk44; status to a specific recommendation instead of merely describing it.
  • Partner with Planning & Portfolio Management to keep aligned with their schedule, differentiating proposals that are feasible this week from those that should be assigned elsewhere.
  • Apply data storytelling and UX expertise to frame each insight for its specific audience, ensuring leadership can act on it within minutes.
  • Collaborate with the Enterprise Data Warehousing, AI Engineering, and Reporting & Dashboards teams to ensure uniformity in metric definitions, data certification, and delivery throughout the organization.


What we need to see:
  • 12+ years of experience in data/analytics engineering, BI development, or applied AI/ML engineering, with a Bachelor9s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
  • Hands-on experience building agentic AI workflows in production is required. This includes tool-calling, multi-step LLM orchestration, and MCP or equivalent experience integrations. You should understand failure modes like hallucinated tool calls, runaway loops, and non-deterministic output.
  • Direct experience with a modern lakehouse platform (such as Databricks), including catalog-governed tables and conversational analytics tooling.
  • Strong analytical judgment demonstrated by the ability to validate or challenge AI-generated answers against underlying data before they ship to a business audience.
  • Demonstrated success in converting data into practical business or operational suggestions instead of only dashboards. Skilled at writing for a CIO or VP audience, ensuring the message is clear in under three minutes.
  • Experience building or integrating scheduled and event-driven delivery mechanisms into Slack, Microsoft Teams, or equivalent enterprise collaboration tools.
  • Comfort operating as the primary technical builder on a small team, moving from prototype to production with a high degree of autonomy.


Ways to stand out from the crowd:
  • Experience replacing a manual or contractor-dependent BI/reporting function with an agentic or automated alternative.
  • Familiarity with enterprise program and portfolio management tools like Jira-based platforms is required. The role involves building automated, executive-facing reports with push/pull and agentic delivery methods.
  • Applied use of prescriptive analytics techniques - trend detection, anomaly flagging, or forecasting - in service of operational decision-making.
  • Prior partnership with C-level or VP-level collaborators on recurring executive reporting.
  • Contributions to an internal agent or skills community of practice, or experience building reusable agent capabilities for others to extend.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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