Staff AI Platform Engineer

This is a fully remote position, open to applicants in North Carolina, +2 more states.

📋 Description

• Take ownership of the comprehensive architecture and ongoing development of the enterprise AI platform ecosystem.

• Guide platform strategy decisions through analyses of build versus buy options, cost modeling, and risk assessments.

• Create and implement self-service platform features to promote enterprise-wide adoption of AI tools.

• Develop and standardize internal APIs, SDKs, and infrastructure-as-code solutions.

• Spearhead the shift from manual administration to automated, API-driven platform operations.

• Establish and expand identity and access management, audit logging, and governance frameworks.

• Convert platform usage, costs, and adoption metrics into actionable insights for procurement, roadmap development, and enterprise strategy.

• Direct incident response strategies and establish monitoring and alerting systems to enhance reliability.

⛳️ Requirements

• Over 8 years of experience in platform engineering, DevOps, or IT operations within enterprise settings.

• Minimum of 4 years of experience in building or managing enterprise SaaS platforms at scale.

• 1 to 2 years of experience working with enterprise AI platforms.

• Proven ability to influence architectural and roadmap decisions through practical technical design, evaluation, and advisory roles.

• Experience in developing internal platforms, including self-service tools, APIs, SDKs, and infrastructure-as-code solutions.

• Proficient in identity and access management, audit logging, and governance frameworks for cloud-based systems.

• Demonstrated history of mentoring engineers and impacting technical standards across teams or organizations.

• Strong proficiency in scripting and automation with languages such as Python, Bash, or similar.

• Familiarity with monitoring and alerting tools like Datadog, PagerDuty, or CloudWatch.

• Experience managing enterprise AI platforms such as ChatGPT Enterprise, Claude, or Cursor.

• Experience integrating enterprise systems with identity providers like Okta or Azure AD using SSO and SCIM.

• Knowledge of AI platform concepts such as API rate limiting, token-based billing, prompt management, and model versioning.

• Understanding of machine learning and MLOps concepts, including model lifecycle management, data pipelines, and production deployment patterns.

• Experience supporting AI ecosystems beyond GenAI, including knowledge management, context management, or memory systems.

• Background in enterprise architecture or large-scale systems integration within a technology organization.

• Must have legal authorization to work in the United States without current or future employer sponsorship.

🏝️ Benefits

• Medical, Dental, and Vision Insurance.

• Telehealth coverage.

• Flexible work schedules and opportunities to work from home.

• Development and career advancement opportunities.

• Open Time Off along with 10 paid holidays.

• 401(k) matching program.

• Adoption Assistance.

• Fertility treatments.

• Paid volunteer time.

• August Free Fridays.

• Well-being resources.

• Regionally tailored programs for employees and their families.

• Mentorship, learning programs, leadership development, and educational support.