Remote Enterprise AI Platform Engineer

Genesys Cloud Services, Inc.; Virginia Beach (VA); On-site; USD 147,000 - 259,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Telehealth coverage

Flexible work schedules and work from:

401(k) matching program

Adoption Assistance

Fertility treatments

Job summary

Genesys Cloud Services, Inc. is seeking an influential platform engineering leader to drive the evolution of our enterprise AI platform ecosystem. You will shape architecture, security, and scale across tools and integrations, partnering with engineering, security, and business leaders.

This high-visibility role requires deep expertise in IAM, API-driven platforms, and self-service tooling, with a track record mentoring engineers and guiding architectural standards at scale.

Qualifications

• 8+ years of experience in platform engineering, DevOps, or IT operations within enterprise environments.
• At least 4 years of experience building or administering enterprise SaaS platforms at scale with 1-2 years working with enterprise AI platforms.
• Demonstrated ability to influence architecture and roadmap decisions through hands-on design, evaluation, and advisory work.
• Strong experience building internal platforms, including self-service tooling, APIs, SDKs, and infrastructure-as-code solutions
• Deep expertise in identity and access management, audit logging, and governance frameworks for cloud-based systems
• Proven track record of mentoring engineers and influencing technical standards across teams or organizations
• Strong scripting and automation experience using Python, Bash, or similar languages
• Experience with monitoring and alerting platforms such as Datadog, PagerDuty, or CloudWatch
• Experience administering enterprise AI platforms such as ChatGPT Enterprise, Claude, or Cursor

Responsibilities

• Own the end-to-end architecture and evolution of the enterprise AI platform ecosystem, ensuring scalability, security, and performance across tools and integrations.
• Drive platform strategy decisions through build versus buy analysis, cost modeling, and risk evaluation that guide leadership investment and consolidation priorities.
• Design and implement self-service platform capabilities that reduce onboarding time and accelerate enterprise-wide adoption of AI tools.
• Build and standardize internal APIs, SDKs, and infrastructure-as-code solutions that enable consistent, reusable, and scalable integrations.
• Lead the transition from manual administration to automated, API-driven platform operations to improve efficiency and reduce operational friction.
• Establish and scale identity and access management, audit logging, and governance frameworks that strengthen security posture and compliance readiness.
• Translate platform usage, cost, and adoption telemetry into clear, actionable insights that inform procurement, roadmap planning, and enterprise strategy.
• Lead incident response strategy and implement monitoring and alerting systems that improve reliability and reduce platform disruption

Skills

SaaS platforms

IAM

Security governance

Python/Bash scripting

DevOps

Mentoring engineers

Architecture influence

APIs/SDKs

Monitoring tools

AI platforms

Tools

Datadog

PagerDuty

CloudWatch

Okta

Azure AD

Job description

Genesys Cloud Services, Inc. is seeking an influential platform engineering leader to drive the evolution of our enterprise AI platform ecosystem. You will shape architecture, security, and scale across tools and integrations, partnering with engineering, security, and business leaders.

This high-visibility role requires deep expertise in IAM, API-driven platforms, and self-service tooling, with a track record mentoring engineers and guiding architectural standards at scale.