Senior Agentic Insights Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Create conversational analytics agents customized for IT portfolio and program data.

• Connect agents to enterprise data platforms using the Model Context Protocol (MCP) or similar open agent-tooling standards for dependable data access.

• Design scheduled-push delivery mechanisms for persona-based insights in Slack and Microsoft Teams.

• Develop custom integrations when the native capabilities of platforms fall short.

• Establish and execute an agent-output validation layer to identify incorrect, ungrounded, or fabricated results.

• Convert grounded agent output into concise operational recommendations that clarify what has changed, why it is significant, and the specific actions to take.

• Oversee the CIO executive insights digest and the reporting rhythm for Planning & Portfolio Management.

• Associate each “at risk” status with a specific recommendation.

• Collaborate with Planning & Portfolio Management to synchronize recommendations with achievable timelines.

• Utilize data storytelling and UX skills to tailor insights for targeted audiences.

• Work alongside the Enterprise Data Warehousing, AI Engineering, and Reporting & Dashboards teams on metric definitions, data certification, and delivery.

⛳️ Requirements

• Over 12 years of experience in data/analytics engineering, BI development, or applied AI/ML engineering.

• A Bachelor’s degree in Computer Science, Data Science, Engineering, or a related area, or equivalent experience.

• Practical experience in developing agentic AI workflows in production, including tool-calling, multi-step LLM orchestration, and MCP or equivalent integrations.

• Awareness of failure modes such as hallucinated tool calls, runaway loops, and non-deterministic output.

• Hands-on experience with a modern lakehouse platform like Databricks, including catalog-governed tables and conversational analytics tools.

• Capability to validate or contest AI-generated responses against foundational data.

• Proven track record of translating data into actionable business or operational recommendations.

• Proficiency in writing for a CIO or VP audience with clear messaging that can be conveyed in under three minutes.

• Experience in creating or integrating scheduled and event-driven delivery mechanisms into Slack, Microsoft Teams, or similar enterprise collaboration tools.

• Ability to serve as the primary technical builder on a small team with a high level of autonomy.

• Familiarity with enterprise program and portfolio management tools such as Jira-based platforms.

• Practical application of prescriptive analytics techniques, including trend detection, anomaly flagging, or forecasting.

• Previous collaboration with C-level or VP-level partners on regular executive reporting.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.