Lead Applied AI Engineer

Quick Facts

Lead Applied AI Engineer to build production AI systems for end-to-end reasoning over enterprise applications.

Description

Serve as a technical linchpin for AI systems that reason about enterprise applications end to end—spanning agents and orchestration, specification extraction, application intelligence and retrieval, and rigorous LLM evaluation. Design and deliver enterprise-grade orchestration using cutting-edge AI tooling and production engineering practices.

What You’ll Do

• Develop clean software: architect, build, and optimize production AI systems while keeping a strong hands-on technical presence.
• Build production agents: design reliable agents and orchestration (planning, tool use, memory, and state) with safe, permission-aware boundaries.
• Extract specifications from existing systems: derive requirements and executable specs from source, metadata, tests, and runtime behavior, and map them onto Appian's object model.
• Model application intelligence: build semantic and dependency models and retrieval for accurate context across large application estates.
• Prove correctness with evaluation: build evaluation and CI pipelines that gate quality and catch real regressions.
• Engineer with AI: use AI coding tools fluently to ship faster without compromising quality or correctness.
• Optimize performance & scale: engineer reliability, latency, and efficiency into core systems at enterprise scale.
• Mentor & champion talent: coach and guide junior engineers.
• Influence technical documentation: share expertise across the department and publish to Engineering's permanent documentation site.

Requirements

• Bachelor of Science degree in Computer Science or a related technical/analytical discipline.
• 7+ years of relevant software development experience with a BS (or 5+ years paired with an MS in Computer Science or a related field).
• Strong distributed-systems background: retries, idempotency, partial failure, long-running tasks, and recovery.
• Strong software engineering, data-pipeline, and observability skills; comfortable owning a production service end to end.
• Demonstrated experience using AI coding assistants and ability to evaluate, coach others on, and selectively apply AI-generated code in production engineering.
• Exceptional ability to communicate highly technical architectures verbally, visually, and in writing.

Benefits

• 401(k) plan with company match
• Flexible time off
• Paid parental leave
• Medical, dental, and vision plans
• Life insurance
• Disability insurance
• Wellness programs
• Flexible spending accounts
• Health savings account contributions
• Employee referral bonus program
• Learning and development resources
• Certain positions may be eligible for equity awards

Training and development, leadership programs, Appian University training, skills-based training, and tuition reimbursement; benefits may also include EAP with free mental health support, ESPP, retirement/pension plan, wellness dollars, and family-forming benefits (benefits vary by country).