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Senior Quality Engineer, Applied AI

Anduril· Corporate Technology : Corporate Technology Platform : Data Platform
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Hybrid (Boston, MA)$146k - $194kFull-timePosted 3w ago

About the role

Quality and reliability lead for a senior AI development pod within Anduril’s CorpTech Platform, focused on AI-enabled software, automation, and agentic workflows with an emphasis on reliability, observability, and production readiness in an AI-first development model.

Responsibilities

  • Act as the quality and reliability lead within a small, senior AI development pod focused on solving novel, high-impact business and engineering problems.
  • Design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows.
  • Partner closely with software and AI engineers to identify failure modes early across code, prompts, models, integrations, infrastructure, and user workflows.
  • Build confidence in fast-moving solutions through automated testing, observability, instrumentation, environment design, and operational safeguards.
  • Help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first development model.
  • Contribute directly in code, infrastructure, and tooling where needed to improve delivery confidence, developer feedback loops, and production stability.
  • Support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems delivered by the pod.
  • Evangelize strong engineering discipline in areas such as quality assurance, release engineering, infrastructure hygiene, and incident prevention without sacrificing speed.

Qualifications

  • 5+ years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role in a fast-paced environment.
  • Demonstrated experience building or operating reliable production software systems, including ownership of testing, observability, deployment confidence, and operational readiness.
  • Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
  • Experience working with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of the unique quality and reliability challenges these systems introduce.
  • Ability to move between hands-on implementation and systems-level quality strategy, with sound judgment on where rigor is required versus where speed is appropriate.
  • Strong debugging, root cause analysis, and incident response instincts, with a bias toward preventing classes of failures rather than repeatedly reacting to them.
  • Excellent written and verbal communication skills, with the ability to influence senior engineers and cross-functional stakeholders on quality and reliability trade-offs.
  • Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience.
  • U.S. Person status is required as this position needs to access export controlled data.

Skills

Required:Quality assurance and reliabilityTesting strategy and release readinessObservability and instrumentationAI tooling and agentic systemsIncident response and RCA
Nice to have:Code and infrastructure contribution

Benefits

  • Benefits package (comprehensive and competitive) available to full-time employees; details referenced in company materials
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anduril

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