Note: The job is a remote job and is open to candidates in USA. Appian provides AI automation for important business processes at large organizations. The Lead Applied AI Engineer will build and optimize production AI systems for enterprise applications, including agents, orchestration, application intelligence, retrieval, and LLM evaluation. The role also involves scaling systems, improving engineering practices, and mentoring junior engineers.
Responsibilities
- 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 the semantic and dependency models and retrieval that give AI accurate context across large application estates
- Prove Correctness with Evaluation: Build the 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 to accelerate their technical growth
- Influence Technical Documentation: Share expertise across the department and publish to Engineering's permanent documentation site
Skills
- 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 of experience paired with a Master of Science in Computer Science or a related field)
- Strong distributed-systems background, including 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 a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context
- Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences
- Expertise in code search, repository intelligence, or developer tools
- Experience with legacy codebase and workflow modernization
- We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment
Benefits
- A discretionary bonus may be awarded in recognition of individual and company performance.
- 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.
- Department-specific training during onboarding
- Dedicated mentorship
- First-Friend program for new hires
- Leadership program tailored for new and aspiring managers
- Specialized department training through Appian University
- Skills-based training
- Tuition reimbursement
- Employee-led affinity groups
- Health coverage
- Employee Assistance Program (EAP) with free mental health support
- Employee Stock Purchase Program (ESPP)
- Retirement/pension plan
- Wellness dollars
- Family-forming benefits
Company Overview
Company H1B Sponsorship