Director, AI-Native Engineering Platform & Tools

<div class="content-intro"><p><span style="font-weight: 400;">Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.</span></p> <p><span style="font-weight: 400;">Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</span></p></div><h2><strong>About the Role</strong></h2> <p>Archer's software organization is built on a conviction: AI-native engineering will let us ship certified, airworthy software with the velocity of modern technology and the integrity of aviation safety — and out-build anyone in this industry.</p> <p>This leader owns the engine that makes that true. You will build the cross-domain platform — <em>"by machines, for machines"</em> — that every flight software, GNC, autonomy, and V&V team runs on: AI-assisted development and verification, MLOps and simulation infrastructure, code-to-flight CI/CD, developer tooling and internal "paved roads," observability, and the DevOps/SRE and Core OS foundations underneath. Your customers are Archer's engineers; your product is their velocity and quality.</p> <p>This is a hands-on leadership role at the intersection of AI, autonomy, infrastructure, and engineering operations. You will partner closely with Flight Software & Algorithms, Autonomy/ML, Systems Engineering, and Product Cybersecurity — and you will be measured by how much faster, and how much more reliably, the entire organization ships.</p> <h2><strong>What You'll Do </strong></h2> <p><strong>AI-Native Engineering (the core of the role)</strong></p> <ul> <li>Make Archer's engineers AI-native: deploy agentic AI and LLM tooling across the SDLC — code generation and review, test generation, requirements-to-code-to-evidence traceability, documentation, and automated verification.</li> <li>Build internal AI tools and "paved roads" that compound developer velocity and become the default way Archer engineers work.</li> <li>Build and operate the MLOps and simulation infrastructure for AI/ML and autonomy: data processing, model training, evaluation, validation, and deployment — with reliability, traceability, and performance across the full lifecycle from research to production