Senior AI Enablement Engineer, People
Justworks · New York, New York
About this role
**Senior AI Enablement Engineer, People** **Who We Are** At Justworks, you’ll enjoy a welcoming, casual environment with great benefits, wellness program offerings, company retreats, and the chance to interact with and learn from leaders in the startup community. We work hard and care about our people—helping businesses get off the ground by enabling them to focus on running their business. We’re data-driven and never stop iterating. **Department** People (Embedded Engineering Model) **Reporting Structure** This role uses an embedded model for maximum technical growth and business impact. Day-to-day business requirements, vision, and prioritization are directed by the People Team leadership. Technical mentorship, code reviews, and engineering career guardrails are provided via a dedicated Engineering Manager partner. --- ## Who You Are Reporting to the Senior Manager, People Strategy Operations, the Senior AI Enablement Engineer, People, is a technical founder embedded within the People function. You have a track record of shipping internal tools and AI-powered workflows that people actually use. You can map a team’s AI gaps and design solutions—and you’re comfortable vibe-coding working prototypes with an AI agent. You’re curious, move with urgency and agency, center the customer in every decision, and make every team you join better. *This is a true engineering role.* We’re looking for someone with production experience building AI systems—not just using AI tools. “Senior” here means senior by organizational reach and shipped impact, not by years of CS experience. --- ## Your Success Profile ### What You Will Work On **1) Building the Core AI & Automation Layer (~50%)** - Drive technical execution of the People team’s AI transformation roadmap—architecting, building, and maintaining intelligent solutions around prioritized operational workflows. - Build agentic workflows, RAG pipelines, and system integrations to scale from “Human + AI handoffs” to “AI as a system” maturity. - Scan externally for emerging AI capabilities and market patterns; translate signals into written briefs that inform what the team experiments on next. - Embed long-term operational success by creating reproducible blueprints, demos, and guides that transfer expertise and cultivate sustainable AI ownership across the People team. **2) Data Layer & AI Reliability (~25%)** - Partner with the People Analyst and Senior Manager of Data Management & Governance to understand the existing Snowflake data model—what’s trusted vs. fragile—and what the AI layer can reliably consume. - Assess the Workday-to-Snowflake pipeline architecture and limitations to ensure AI tools handle data quirks reliably. - Design evaluation frameworks to measure accuracy, latency, and real-world utility (including hallucination rates, retrieval precision, and user satisfaction). - Implement data privacy and access controls for highly sensitive people data (PII handling, role-based access, audit trails) in coordination with Data Governance. **3) Technical Partnership & Responsible AI (~25%)** - Serve as the primary technical thought partner to the Senior Manager of Strategy Operations—translating People strategy and operational pain points into scoped, sequenced engineering work. - Collaborate with core engineering and data teams to align on infrastructure, security posture, and standards so People-built systems are enterprise-grade and maintainable. - Proactively surface risks, limita
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