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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AI Platform Engineer - **Company:** Genesys Telecommunications Laboratories, Inc. - **Location:** Virginia, MN, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Bash Shell, Cursor (Graphical User Interface Elements), DevOps, Identity and Access Management, Information Technology Operations, Python (Programming Language), Datadog, Cloud Platform System, Genesys, AI Platforms, Api Design, Cloudwatch, GPT, Pagerduty - **Published:** August 9, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/staff-ai-platform-engineer-virginia-mn-usa-58863326 ## About the Role Claude, processes to improve efficiency * Establish and scale IAM, audit logging, and governance frameworks for security and compliance * Translate usage and cost telemetry into actionable procurement and roadmap insights * Lead incident response and implement monitoring/alerting to improve reliability Tasks * 8+ years in platform engineering, DevOps, or IT operations in enterprise environments * 4+ years building or administering enterprise SaaS platforms at scale; 1-2 years with enterprise AI platforms * Proven ability to influence architecture and roadmap through hands-on design and advisory work * Experience building internal platforms with self-service tooling, APIs, SDKs, and IaC * Deep expertise in IAM, audit logging, and governance for cloud systems * Mentoring engineers and influencing technical standards across teams * Strong scripting/automation in Python, Bash, or similar * Experience with monitoring/alerting platforms (Datadog, PagerDuty, CloudWatch) * Experience aaaaaaaaaaa US enterprise AI platforms (e.g., ChatGPT Enterprise, Claude, Cursor) Key requirements * Medical, Dental, and Vision Insurance * Telehealth coverage * Flexible work schedules and remote opportunities * Development and career growth opportunities * Open Time Off plus 10 paid holidays * 401(k) matching program ## Description Experteer Overview Join Genesys to shape the enterprise AI platform that scales, secures, and delivers real business impact. You will own the architecture and evolution of the AI platform ecosystem, collaborating with engineering, security, and business leaders to drive adoption and governance. This high-visibility role influences platform standards and long-term direction in a world-class AI-enabled experience platform. You will turn AI capability into reliable infrastructure at scale, enabling enterprise adoption and meaningful innovation. Compensation / Benefits * Own end-to-end architecture and evolution of the enterprise AI platform ecosystem across tools and integrations * Guide build-vs-buy decisions, cost modeling, and risk assessment for leadership investments * Create self-service platform capabilities to accelerate enterprise-wide adoption of AI tools * Develop internal APIs, SDKs, and IaC solutions for reusable, scalable integrations * Automate platform operations with API-driven processes to improve efficiency * Establish and scale IAM, audit logging, and governance frameworks for security and compliance * Translate usage and cost telemetry into actionable procurement and roadmap insights * Lead incident response and implement monitoring/alerting to improve reliability Tasks * 8+ years in platform engineering, DevOps, or IT operations in enterprise environments * 4+ years building or administering enterprise SaaS platforms at scale; 1-2 years with enterprise AI platforms * Proven ability to influence architecture and roadmap through hands-on design and advisory work * Experience building internal platforms with self-service tooling, APIs, SDKs, and IaC * Deep expertise in IAM, audit logging, and governance for cloud systems * Mentoring engineers and influencing technical standards across teams * Strong scripting/automation in Python, Bash, or similar * Experience with monitoring/alerting platforms (Datadog, PagerDuty, CloudWatch) * Experience administering enterprise AI platforms (e.g., ChatGPT Enterprise, Claude, Cursor) Key requirements * Medical, Dental, and Vision Insurance * Telehealth coverage * Flexible work schedules and remote opportunities * Development and career growth opportunities * Open Time Off plus 10 paid holidays * 401(k) matching program ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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