University 2026 Talent Acquisition/ HR AI Intern

Responsibilities

• Architect and deploy AI-driven workflow agents operating on top of live HR systems
• Design human-in-the-loop decision-support frameworks with transparent logic and rationale
• Integrate with ATS platforms, communication tools, and sourcing systems via APIs and webhooks
• Implement governance-aware design that avoids automated candidate selection or compensation determination
• Build dashboards, monitoring tools, and feedback loops to measure system impact
• Partner with Talent leadership to prioritize high-leverage automation opportunities
• Document systems for scale, audit readiness, and operational continuity

Requirements

• Currently pursuing an MBA or a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related t

Benefits

Additional Information

Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ . Role Overview ID.me is seeking a Talent Acquisition/ HR AI Intern to embed within our Talent Acquisition organization and design intelligent systems that operate on top of our production HR infrastructure. This is not a traditional HR internship - it is an applied AI systems role within the People organization, focused on building agentic workflow automation that increases hiring velocity, operational rigor, and executive visibility across the HR function. As an intern, you will architect and ship decision-support agents that integrate with systems such as Greenhouse, Ashby, Slack, and sourcing platforms to transform recruiting from reactive process management into a live, orchestrated operating system. You will work at the intersection of AI, automation, behavioral design, and production-grade workflow infrastructure, partnering closely with Talent leadership and engineering stakeholders. Your work will directly impact hiring outcomes, recruiter productivity, and organizational scale readiness. This role is based in our Mountain View office and requires full-time in-office attendance. What You'll Build You will design and deploy agentic systems that operate strictly as human-in-the-loop decision support tools, with clear governance guardrails and compliance-aware architecture. Offer Close Autopilot ("Hiring Deal Desk Agent") Design an intelligent closing support system that monitors late-stage candidate engagement signals - stage velocity, response timing, calendar friction, reschedule patterns, and market competitiveness indicators - to surface real-time risk insights. The system will generate personalized sell narratives, suggest compensation positioning within approved bands, and recommend executive intervention when appropriate. The agent will never make autonomous hiring or compensation decisions; instead, it will provide structured visibility and close-probability insights to support human judgment. This system introduces executive-level leverage to offer closing without automating selection decisions. Recruiting Chief of Staff Bot ("Pipeline Autopilot") Build an orchestration agent using ATS webhooks that detects stalled candidates, missing feedback, interviewer scoring variance, and requisitions outside SLA. The system will generate contextual Slack nudges to hiring managers, draft recruiter updates, and recommend process optimizations such as batching interviews or consolidating loops. It will focus exclusively on workflow efficiency and behavioral nudging - not candidate evaluation or ranking - improving consistency and velocity across the hiring lifecycle. Talent Radar ("Agentic Sourcing Swarm") Develop a sourcing intelligence engine for high-priority roles that translates hiring intake into structured competency maps, identifies market adjacency clusters, generates longlists, and groups prospects into skill archetypes. The system will produce transparent rationales for each recommendation, confidence indicators, and hyper-personalized outreach drafts. All outreach requires human approval prior to execution, ensuring compliance and ethical guardrails. This platform shifts sourcing from Boolean search to pattern-based intelligence while maintaining full human oversight.

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