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Senior AI Engineer, People

Justworks · New York, New York

unknownsenior$166,000–$214,000Posted Nov 12, 2026LLMsRAGvector embeddingsSnowflakeWorkdayLangSmithDatadog

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About this role

**Senior AI Engineer, People** **Who We Are** At Justworks, you’ll enjoy a welcoming, casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset—our people. We help businesses get off the ground by enabling them to focus on running their business. We solve HR issues with a data-driven mindset and never stop iterating. **Department**: People --- ## Who You Are Reporting to the Senior Manager, People Strategy Operations, the Senior AI 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 AI agents. 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 shipping AI systems—not someone who only uses AI tools. “Senior” here reflects organizational reach and shipped impact, not years of CS experience. --- ## 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. - Create 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 the Data Governance team. ### 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, limitations, and failure modes before they impact employees, with an explicit lens on fairness, auditability, and responsible deployment. - Stay current on the AI engineering landscape by evaluating models, frameworks, and tooling—and bring a strong point of view on when to adopt vs. wait. **Success in this role** means delivering reliable, production-grade AI tools that reduce manual work, unlock better

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