
Managed Services AI Platform Architect
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Managed Services AI Platform Architect based in the United States.
This is a high-impact technical leadership role focused on designing and scaling AI-driven capabilities that transform managed services operations.
You will architect and deliver agentic AI systems that embed directly into service delivery workflows to improve speed, reliability, and efficiency.
The role spans AI platform design, automation, orchestration, and integration across ITSM and observability ecosystems.
You will work at the intersection of AI engineering, cloud platforms, and IT operations, translating complex operational challenges into production-ready AI solutions.
This is a hands-on role with direct responsibility for building and shipping systems that drive measurable operational outcomes.
You will operate in a fast-paced, execution-driven environment where impact is measured through adoption, automation, and service performance improvements.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Managed Services AI Platform Architect based in the United States.
This is a high-impact technical leadership role focused on designing and scaling AI-driven capabilities that transform managed services operations.
You will architect and deliver agentic AI systems that embed directly into service delivery workflows to improve speed, reliability, and efficiency.
The role spans AI platform design, automation, orchestration, and integration across ITSM and observability ecosystems.
You will work at the intersection of AI engineering, cloud platforms, and IT operations, translating complex operational challenges into production-ready AI solutions.
This is a hands-on role with direct responsibility for building and shipping systems that drive measurable operational outcomes.
You will operate in a fast-paced, execution-driven environment where impact is measured through adoption, automation, and service performance improvements.