Lead AI Developer Tooling Engineer

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Developer Tooling Engineer Location: Remote (US) Grow your engineering career building the developer tools that power AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead AI Developer Tooling Engineer, you will serve as a technical linchpin for the team building the tools Appian's own engineers rely on — IDEs, CLIs, code-analysis, and CI/CD workflows — and the layer that brings AI capabilities into their daily development. Equipped with cutting-edge AI tooling yourself, you'll design and deliver developer experiences of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize developer-facing tools and services while maintaining a strong personal technical presence on the team. Build Developer Tooling: Design and build the IDE integrations, CLIs, code-analysis, and CI/CD tooling that Appian's engineers rely on every day — treating developer experience as a first-class product. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Surface AI in Developer Workflows: Expose AI capabilities to developers through workflows that are fast, understandable, and debuggable — earning trust by making AI assistance transparent and easy to control. Optimize Performance & Scale: Manage the availability, latency, and efficiency of developer tooling by engineering deep reliability into it and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Mentor & Champion Talent: Actively coach, mentor, and guide junior engineers on software craftsmanship, providing the structural support necessary to accelerate their technical…