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Salary: USD 166,000 - 214,000 / annual
Justworks is seeking a Senior AI Enablement Engineer to join the People function, reporting to the Senior Manager of People Strategy Operations. This is a technical, hands-on engineering role focused on building production-grade AI systems and workflows that improve the People team's operational efficiency and employee experience.
You will own three major areas of work:
**Building the Core AI & Automation Layer (~50%):** Drive technical execution of the People team's AI transformation roadmap by architecting and maintaining intelligent solutions for prioritized operational workflows. Build agentic workflows, RAG pipelines, and system integrations to scale from human-AI handoffs to fully autonomous AI systems. Scan for emerging AI capabilities and market patterns, translating insights into written briefs that inform experimentation. Create reproducible blueprints, demos, and guides that transfer expertise and cultivate sustainable AI ownership across the team.
**Data Layer & AI Reliability (~25%):** Partner with the People Analyst and Senior Manager of Data Management & Governance to understand the existing Snowflake data model, identifying what is trusted, fragile, or reliably consumable by AI systems. Assess the custom Workday-to-Snowflake pipeline architecture and engineering limitations. Design evaluation frameworks measuring accuracy, latency, hallucination rates, retrieval precision, and user satisfaction. Implement data privacy and access controls for sensitive people data, including PII handling, role-based access, and audit trails in coordination with Data Governance.
**Technical Partnership & Responsible AI (~25%):** Serve as the primary technical thought partner translating People strategy and operational pain points into scoped, sequenced engineering work. Collaborate with core engineering and data teams on infrastructure, security, and standards to ensure enterprise-grade, maintainable systems. Proactively surface risks, limitations, and failure modes in AI systems before they impact employees, with explicit focus on fairness, auditability, and responsible deployment in a workforce context. Stay current on the AI engineering landscape, evaluating new models, frameworks, and tooling.
Success is defined by shipping reliable, production-grade AI tools that reduce manual work, unlock better workforce insights, and create seamless experiences for Justworks employees. You will demonstrate technical craft (clean, tested, maintainable code; sound architecture; production-ready systems), problem translation (converting ambiguous needs into well-scoped solutions), planning and alignment (breaking down complex builds into sequenced milestones; proactive communication), initiative and motivation (identifying what needs building before being asked), and strong teamwork and communication across engineering and non-technical stakeholders.
You do not need an HR background. You need to care about building tools that make people's work lives better and have a track record of shipping internal tools and AI-powered workflows that people actually use.
**Requirements:**
- 6+ years of professional, hands-on software engineering experience
- 2+ years of hands-on experience building with LLMs and AI tooling in production (agent frameworks, pipelines, retrieval systems, or AI-integrated workflows that real users depend on)
- Familiarity with LLM observability tooling (LangSmith, Datadog LLM monitoring, or equivalent); you instrument what you build and use signal to improve it
- Systems-level understanding of data retrieval with comfort working with vector embeddings and combining structured data (such as Snowflake tables) with unstructured text to power intelligent, context-aware internal tools
- Strong working knowledge of data privacy standards, including experience building audit trails, role-based permissions, and robust access controls for highly confidential datasets
- Strong communication skills—able to present technical options, trade-offs, and progress to non-technical People and business stakeholders
- Demonstrated ability to work independently in ambiguous, greenfield environments: defining scope, sequencing work, and driving to production without heavy oversight
- Familiarity with HR/People systems such as Workday or Greenhouse is a meaningful plus, but not required
