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