Staff AI Platform Engineer

🕒 August 6

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Genesys

5001 - 10000 employees

Founded 1990

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

📋 Description

• Own the end-to-end architecture and evolution of the enterprise AI platform ecosystem • Drive platform strategy decisions through build-versus-buy analysis, cost modeling, and risk evaluation • Design and implement self-service platform capabilities to accelerate enterprise-wide AI tool adoption • Build and standardize internal APIs, SDKs, and infrastructure-as-code solutions • Lead the transition from manual administration to automated, API-driven platform operations • Establish and scale identity and access management, audit logging, and governance frameworks • Translate platform usage, cost, and adoption telemetry into actionable insights for procurement, roadmap planning, and enterprise strategy • Lead incident response strategy and implement monitoring and alerting systems to improve reliability

🎯 Requirements

• 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 • 1–2 years working with enterprise AI platforms • Ability to influence architecture and roadmap decisions through hands-on technical design, evaluation, and advisory work • Experience building internal platforms, including self-service tooling, APIs, SDKs, and infrastructure-as-code solutions • Expertise in identity and access management, audit logging, and governance frameworks for cloud-based systems • 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 • Experience integrating enterprise systems with identity providers such as Okta or Azure AD using SSO and SCIM • Familiarity with AI platform concepts including API rate limiting, token-based billing, prompt management, and model versioning • Familiarity with machine learning and MLOps concepts, including model lifecycle management, data pipelines, and production deployment patterns • Experience supporting AI ecosystems beyond GenAI, including knowledge base, context management, or memory systems • Background in enterprise architecture or large-scale systems integration within a technology organization • Must be legally authorized to work in the United States without current or future employer sponsorship

🏖️ Benefits

• Medical, Dental, and Vision Insurance • Telehealth coverage • Flexible work schedules and work from home opportunities • Development and career growth opportunities • Open Time Off in addition to 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 education support

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