Principal Applied AI Lead, Talent

Responsibilities

• Partner with TA teams across the org to identify the highest-value AI and automation opportunities — distinguishing genuine leverage from novelty
• Develop a deep understanding of TA's workflow pain points, data landscape, and strategic priorities to inform where AI creates durable impact
• Design and build working AI prototypes and automations — from scoping the problem to putting a functional solution in front of stakeholders for validation
• Use LLM APIs, agent frameworks, AI-native platforms, and workflow automation tools to iterate quickly without requiring dedicated engineering resources for every build
• Run structured pilots and tool evaluations with defined success criteria — test in controlled environments, measure outcomes, and govern the path to scaled deployment
• Translate validated prototypes into clear requirements and partner with engineering to move from proof-of-concept to production
• Author and maintain job descriptions for all TA AI agents, defining their responsibilities, decision rights, authorities, and escalation paths
• Establish and track performance metrics for each agent — accuracy, timeliness, reliability, process outcomes — and run regular review cycles to drive improvement
• Serve as the human supervisor for AI agents in production, maintaining clear accountability for how they're trained, integrated, and escalated
• Build the playbooks, workflow blueprints, and governance frameworks that make AI adoption scalable and repeatable across TADevelop TA team members' AI fluency through hands-on sessions, shared examples, and clear frameworks for when and how to use AI effectively
• Collaborate with HR, Legal, and Compliance to ensure all deployments meet regulatory and accountability requirements from the start, not at the end
• Stay current on the AI tooling landscape and bring informed, tested recommendations on what the org should adopt, integrate, or build custom

  Qualifications

  • 6+ years of experience spanning Talent Acquisition, TA operations, or HR — and hands-on AI implementation; you need both, not one or the other
  • A genuine track record of building things with AI: you have used LLM APIs, prompt engineering, agent frameworks, and automation platforms to create working solutions without heavy engineering support
  • Experience taking solutions from concept through production deployment, including navigating the technical, organizational, and process realities that come with it
  • Strong process design instincts — you've written governance frameworks, performance standards, or SOPs and know how to make them usable by real teams
  • Demonstrated ability to influence without authority — your credibility comes from insight and delivered work, not title
  • Strong communicator who can translate complex AI capabilities into plain language for TA leaders, and translate fuzzy operational problems into specific, buildable solutions
  • Comfortable building in ambiguous territory — this function is being stood up, not inherited