
1001 - 5000 employees
🤝 B2B
☁️ SaaS
B2B • SaaS
Appian Corporation is the unified platform for change, specializing in accelerating business processes through discovery, design, and automation. Their primary offering is the Appian Low-Code Platform, which integrates process mining, workflow, and automation in a single low-code solution. With a focus on digital transformation, business process management, and intelligent automation, Appian serves large enterprises looking to optimize their operations through innovative software solutions.
🔥 4 hours ago
🇺🇸 United States – Remote
💵 $200k - $350k / year
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Appian Corporation's careers page, not through a job board
First seen by Remote Rocketship 4 hours ago
Still open on Appian Corporation's site. Checked 3 hours ago.

1001 - 5000 employees
🤝 B2B
☁️ SaaS
B2B • SaaS
Appian Corporation is the unified platform for change, specializing in accelerating business processes through discovery, design, and automation. Their primary offering is the Appian Low-Code Platform, which integrates process mining, workflow, and automation in a single low-code solution. With a focus on digital transformation, business process management, and intelligent automation, Appian serves large enterprises looking to optimize their operations through innovative software solutions.
• Architect, build, and optimize high-performance production LLM systems • Spearhead strategic technology changes and code refactoring across the Appian codebase and AI systems • Use AI coding tools to generate, review, and critically evaluate AI-assisted code • Drive technical story breakdowns, acceptance criteria, and architectural design across complex multi-tier and AI-powered application layers • Build prototypes to de-risk novel AI approaches and establish technical standards • Manage product availability, latency, scalability, and efficiency through reliability engineering and advanced system tuning • Promote development best practices and perform detailed code reviews • Build automation frameworks to prevent problem recurrence • Coach and mentor engineers at multiple levels and close team skill gaps • Share domain knowledge and publish technical content to Engineering’s documentation site
• Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted in lieu of a degree • 10+ years of relevant software development experience with a BS, or 8+ years of experience paired with a Master of Science in Computer Science or related field • Deep hands-on experience designing and operating production LLM systems • Expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability • Experience using AI coding assistants and evaluating, coaching others on, and selectively applying AI-generated code in production engineering • Strong distributed-systems, API, security, and reliability foundations • Ability to contribute at a senior individual contributor level • Ability to drive technical decisions and shape engineering practices beyond a single team or project scope • Experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment • Exceptional ability to communicate highly technical architectures verbally, visually, and in writing • Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred • Experience with enterprise platforms such as Salesforce or ServiceNow is valued
• Discretionary bonus based on 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 and wellness dollars • Flexible spending accounts • Health savings account contributions • Employee referral bonus program • Learning and development resources • Training and development during onboarding • Dedicated mentorship and First-Friend program • Leadership program and Appian University training • Skills-based training • Tuition reimbursement • Employee-led affinity groups • Employee Assistance Program (EAP) with free mental health support • Employee Stock Purchase Program (ESPP) • Retirement/pension plan • Family-forming benefits • Certain positions may be eligible for equity awards
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