4 дня назад
Principal ML Platform Engineer (AI)
175 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal ML Platform Engineer (AI): Building and optimizing high-performance, mission-critical software for Appian’s AI-powered process automation platform with an accent on distributed systems, cloud-native architecture, and enterprise-grade orchestration. Focus on designing scalable multi-tier systems, applying AI-assisted development, tuning reliability and performance, and mentoring engineers across the organization.
Location: McLean, Virginia, United States; onsite in the office 5 days per week
Salary: $175,000–$325,000 USD per year base salary, plus potential discretionary bonus
Company
provides AI automation for mission-critical work, helping large enterprises and governments automate complex processes through a reliable, scalable platform.
What you will do
- Architect, build, optimize, and maintain high-performance enterprise software and production services.
- Lead platform modernization, code refactoring, and strategic technology changes across the core codebase.
- Design complex multi-tier architectures, break down technical work, define acceptance criteria, and lead delivery.
- Use AI coding assistants to generate, review, evaluate, and selectively apply production code.
- Improve availability, latency, scalability, efficiency, and reliability through advanced system tuning and automation.
- Mentor engineers, lead code reviews, spread development best practices, and contribute to technical documentation.
Requirements
- Bachelor of Science in Computer Science or a related technical or analytical discipline; an equivalent degree substitution is not accepted.
- 10+ years of relevant software development experience with a bachelor’s degree, or 8+ years with a master’s degree in Computer Science or a related field.
- Expert coding, scripting, and debugging skills in Java, Python, or Go.
- Deep knowledge of distributed systems and cloud infrastructure, with experience developing high-volume, mission-critical production services.
- Experience using AI coding assistants and evaluating, coaching others on, and applying AI-generated code in production.
- Ability to work onsite at the McLean, Virginia headquarters 5 days per week, communicate complex technical architectures, and influence engineering practices across teams.
Nice to have
- Experience with microservices, Docker, Kubernetes, and CI/CD pipelines.
- Experience with AWS, Azure, and/or GCP.
- Experience with Salesforce or ServiceNow enterprise platforms.
Culture & Benefits
- High-impact autonomy and ownership of technical direction.
- Structured onboarding, mentorship, and dedicated learning time.
- Company-sponsored professional technical certifications.
- Flexible time off, paid parental leave, medical, dental, vision, life, and disability insurance.
- 401(k) company match, health savings and flexible spending account contributions, wellness programs, tuition reimbursement, and potential equity eligibility.
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