Senior Agentic Insights Engineer

Details

NVIDIA's AI Insights & Intelligence team is transforming how IT leadership makes decisions by replacing fragmented dashboards and static reports with a managed insights layer. This layer delivers clear recommendations directly to IT leadership and the CIO.

The Senior Agentic Insights Engineer will be the hands-on technical builder behind this transformation, developing and operating the agentic infrastructure that generates insights while ensuring recommendations are accurate before reaching leadership. The role combines production-level agentic AI engineering with responsibility for operational recommendations implemented by leadership.

Responsibilities

• Develop conversational analytics agents tailored to IT portfolio and program data.
• Connect agents to enterprise data platforms through the Model Context Protocol (MCP) or equivalent open agent-tooling standards for reliable data retrieval.
• Architect scheduled-push delivery mechanisms for persona-based insights in Slack and Microsoft Teams, using native platform capabilities where available and custom integrations where necessary.
• Define and implement an agent-output validation layer to catch incorrect, ungrounded, or hallucinated results before they reach leadership.
• Transform grounded agent output into clear operational recommendations, explaining what changed, why it matters, and the specific action a portfolio owner or executive should take.
• Manage the CIO executive insights digest and Planning & Portfolio Management reporting cadence, linking each “at risk” status to a specific recommendation.
• Partner with Planning & Portfolio Management to align with their schedule and distinguish proposals that are feasible during the current week from those that should be assigned elsewhere.
• Apply data storytelling and UX expertise to frame insights for specific audiences so leadership can act within minutes.
• Collaborate with Enterprise Data Warehousing, AI Engineering, and Reporting & Dashboards teams to maintain consistent metric definitions, data certification, and delivery across the organization.

Requirements

• 12 or more years of experience in data or analytics engineering, BI development, or applied AI/ML engineering.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
• Hands-on experience building agentic AI workflows in production, including tool calling, multi-step LLM orchestration, and MCP or equivalent integrations.
• Understanding of failure modes such as 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 and the ability to validate or challenge AI-generated answers against underlying data before delivery to business audiences.
• Demonstrated ability to convert data into practical business or operational recommendations rather than only dashboards.
• Ability to write for CIO- or VP-level audiences and communicate messages clearly in under three minutes.
• Experience building or integrating scheduled and event-driven delivery mechanisms into Slack, Microsoft Teams, or equivalent enterprise collaboration tools.
• Ability to operate as the primary technical builder on a small team and move from prototype to production with a high degree of autonomy.

Preferred Qualifications

• Experience replacing a manual or contractor-dependent BI or reporting function with an agentic or automated alternative.
• Familiarity with enterprise program and portfolio management tools such as Jira-based platforms. The role involves building automated, executive-facing reports using push, pull, and agentic delivery methods.
• Applied use of prescriptive analytics techniques, including trend detection, anomaly flagging, or forecasting, for operational decision-making.
• Previous 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.

Compensation and Benefits

The base salary range is $184,000 to $287,500 USD, determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive, equal-opportunity work environment.