Anduril Industries
AI Solutions Engineer, Talent Acquisition
About this role
Anduril Industries seeks an AI Solutions Engineer to own the design and deployment of AI agents and automation tools across their talent acquisition function. You'll build systems that solve real recruiting challenges—from sourcing to scheduling—while managing the AI/automation roadmap, conducting build-vs.-buy evaluations, and embedding safety and compliance practices.
What you'll do
- Build and ship AI agents and automations that improve recruiting efficiency, sourcing, screening, and candidate pipeline operations
- Own the TA AI and automation roadmap end-to-end, including prioritization, stakeholder communication, and progress tracking
- Lead build-vs.-buy assessments evaluating vendors, internal platforms, and custom solutions against scalability, cost, safety, and compliance
- Partner with Corporate Technology to align AI solutions with company infrastructure, security posture, and model access
- Define success metrics and instrument monitoring for shipped systems to track adoption, time saved, quality, and cost impact
- Drive AI literacy across the recruiting organization through training, documentation, and best practice sharing
What they're looking for
- Applied AI/LLM engineering (agents, tool use, RAG, evaluations)
- Python and software engineering fundamentals
- API design and integrations
- Data handling and PII security practices
- Compliance and governance (ITAR/CUI familiarity a plus)
- Product thinking and roadmap prioritization
- Recruiting or talent operations domain knowledge
- Version control, testing, and deployment practices
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a production AI/LLM system you built end-to-end. What problem did it solve, what was your tech stack, and how did you measure success?
- Tell us about a time you had to make a build-vs.-buy decision on a tool or system. What criteria did you use, and would you make the same decision today?