- 12+ years of experience in data/analytics engineering, BI development, or applied AI/ML engineering, with a 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 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 other objective job-related factors. The expected base salary range for this position 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 November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.