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AI Solutions Engineer, Talent Acquisition

Anduril· People : Talent Acquisition : TA Operations
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Boston, MA$161k - $212kFull-timePosted 3mo ago

About the role

Role embedded within the Talent Operations Systems team to own AI and automation across Anduril's Talent Acquisition function, building AI agents and automations, shaping the AI/automation roadmap, and ensuring compliance, safety, and governance.

Responsibilities

  • Build AI agents and automations that solve real recruiting problems — sourcing, screening, outreach, scheduling, candidate research, pipeline operations, reporting — with measurable ROI tied to recruiter time saved, funnel improvements, or hiring outcomes.
  • Own TA's AI and automation roadmap end-to-end — prioritization, sequencing, communication, and progress read-outs to TA leadership and stakeholders.
  • Partner closely with Anduril's Corporate Technology team to understand the company's AI tooling, model access, infrastructure, security posture, and roadmap — and design solutions that ride those rails rather than fight them.
  • Form and defend a clear point of view on where AI and automation will and won't drive value across the recruiting function, and proactively surface opportunities the team hasn't asked for yet.
  • Lead rigorous build-vs.-buy assessments — evaluating vendors, internal platforms, and custom builds against scalability, total cost, safety, compliance, and long-term maintainability.
  • Ship pragmatically — strategically prioritized initiatives most of the time, but also fast, home-grown solutions for ad hoc team requests when that's the right call.
  • Partner with the TA Enablement team to drive baseline AI literacy across the recruiting org — internal training, documentation, prompt patterns, guardrails, and best practices that recruiters and sourcers can actually use.
  • Own the safety, compliance, and governance posture of every AI and automation system you ship — PII handling, role-based access, audit trails, model risk, data residency, and ITAR/CUI considerations where applicable.
  • Define and instrument success metrics for every shipped system — adoption, time saved, quality, error rates, cost per outcome — and retire what isn’t working.
  • Establish lightweight engineering practices for the function — version control, testing, evals, deployment, monitoring — so AI work is durable rather than throwaway.

Qualifications

  • 4+ years of hands-on technical experience building production software, with at least 1–2 years of that focused on applied AI / LLM-based systems (agents, tool use, RAG, evaluations, automations).
  • Genuinely curious about the recruiting / TA domain (prior experience strongly preferred) — willing to sit with recruiters and sourcers, learn their workflows, and build for their problems rather than the most technically interesting ones.
  • Strong software engineering fundamentals — APIs and integrations, version control, testing, CI/CD, basic infrastructure, and deployment.
  • Production experience building AI agents or LLM-driven automations for use across a growing team (250+ people) — including prompt design, tool use, retrieval, evaluation, and the failure modes that come with non-deterministic systems.
  • Experience integrating with SaaS APIs and stitching workflows across multiple tools — comfort reading API docs, handling auth, rate limits, pagination, and webhooks.
  • Demonstrated ability to identify high-leverage opportunities in an operational function, ship working systems against them, and quantify the impact.
  • Strong build-vs.-buy judgment — can rigorously evaluate vendors and internal platforms against custom builds on scalability, cost, safety, compliance, and maintainability.
  • Comfortable owning a roadmap end-to-end — prioritization, communication to non-technical leadership, and clear written read-outs.
  • Strong written and verbal communication — can explain technical tradeoffs to recruiting leadership and translate fuzzy operational pain into specific technical scope.
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities.

Skills

Required:AI/LLM agent design and toolingSoftware engineering fundamentalsSaaS API integrationRoadmap ownership and influenceCompliance and governance for AI

Benefits

  • US Salary Range: $161,000—$212,000 USD
  • Highly competitive equity grants included in full-time offers
  • Top-tier benefits for full-time employees, including health, recovery, and related supports
  • Explore Our Benefits (link provided in description)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Anduril

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Company profileWebsite

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