[Remote] Principal ML Platform Engineer

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 through an AI-Powered Process Automation platform. The Principal ML Platform Engineer will architect, build, and optimize high-performance cloud-native software systems, lead platform modernization and architecture, and drive reliability and scalability. The role also involves mentoring engineers, influencing technical practices, and evaluating AI-assisted code in production engineering contexts.

Responsibilities

• Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team
• Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant
• Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness
• Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers — from feature scoping through implementation
• Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning
• Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence
• 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
• 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

Skills

• 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)
• Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go
• Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space
• Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope
• 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
• Proven 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 to diverse engineering audiences
• Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines
• Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP
• 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 plans
• Dental plans
• 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.
• Real ownership over your team’s direction and the latitude to make meaningful decisions
• New hire orientation and onboarding
• Dedicated learning time
• Full corporate sponsorship for professional technical certifications
• Dedicated mentorship
• First-Friend program
• Leadership program tailored for new and aspiring managers
• Appian University specialized department training
• 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