Appian Corporation
Principal ML Platform Engineer
United States · Principal
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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.
- As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope.
Responsibilities
- Develop Clean Software: Architect, build, and optimize high-performance software 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 cutting-edge, modern, and performant.
- Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation.
- 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 software systems while maintaining a strong personal technical presence on the team.
- Lead Platform Modernization:
Requirements
- Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go.
- Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space.
- 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.
- Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences.
- 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).
- Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go.
- Domain Expertise:
- Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space.
- 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.
Nice to have
- Cloud Architecture: Strong experience designing microservices, working with containerization ( Docker, Kubernetes ), and implementing modern CI/CD pipelines.
- We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.
- What We Equip You With
- High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions.
- Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials.
- Tools and Resources
Compensation
- $175,000 - $325,000 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 ML Platform 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.
- The Opportunity
- Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration.
Visa & Work Authorization
- Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials.
This listing is sourced directly from Appian Corporation's careers page and normalized into a canonical job model.