Appian Corporation
Principal Applied AI Engineer
United States · Principal
Sponsorship not specified$200k-$350kDetected 22 days ago
Code ReviewLLMsLLMOpsSalesforceRecruitingCommunicationMentoring
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
Responsibilities
- Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team.
- Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant.
- Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation.
- Build prototypes to de-risk novel AI approaches and establish the standards others build on.
- Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems 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.
- Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you.
- Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site.
- Develop Clean Software:
- Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team.
Requirements
- Production LLM Systems: Deep hands-on experience designing and operating production LLM systems.
- AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability.
- AI-Augmented Development: 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.
- Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space.
- Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences.
- 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.
- AI Systems Expertise:
Nice to have
- Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred.
- We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.
- Tools and Resources
- Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training.
- This commitment ensures that employees have access to a holistic range of development opportunities.
- Community: We'll immerse you into our community rooted in respect starting on day one.
- Appian fosters inclusivity through our 8 employee-led affinity groups.
Compensation
- $200,000 - $350,000 USD
Benefits
- Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future.
- Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.
Company info
- 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.
- Principal Applied AI Engineer
- Lead the engineering of software that matters - driving AI automation for the world's largest enterprises.
- 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.
- 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.
- As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope.
- Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration.
Equal opportunity
- equal opportunity employer that strives to attract and retain the best talent.
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