Senior Agentic Insights Engineer

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop conversational analytics agents tailored to IT portfolio and program data • Link 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 • Build custom integrations where native platform capabilities are insufficient • Define and implement an agent-output validation layer to catch incorrect, ungrounded, or hallucinated results • Transform grounded agent output into clear operational recommendations explaining what changed, why it matters, and the specific action to take • Manage the CIO executive insights digest and Planning & Portfolio Management reporting rhythm • Link each “at risk” status to a specific recommendation • Partner with Planning & Portfolio Management to align recommendations with feasible timelines • Apply data storytelling and UX expertise to frame insights for specific audiences • Collaborate with Enterprise Data Warehousing, AI Engineering, and Reporting & Dashboards teams on metric definitions, data certification, and delivery

🎯 Requirements

• 12+ years of experience in data/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 • Ability to validate or challenge AI-generated answers against underlying data • Demonstrated success converting data into practical business or operational suggestions • Ability to write for a CIO or VP audience with clear messaging 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 with a high degree of autonomy • Familiarity with enterprise program and portfolio management tools like Jira-based platforms • Applied use of prescriptive analytics techniques, including trend detection, anomaly flagging, or forecasting • Prior partnership with C-level or VP-level collaborators on recurring executive reporting

🏖️ Benefits

• Equity • Benefits

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