Managed Services AI Platform Architect

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.

• Design, build, and scale a production-grade AI platform for managed services, embedding AI capabilities directly into operational workflows.
• Lead development of agentic AI systems including incident triage, classification, automated remediation, knowledge retrieval, and multi-step workflow orchestration.
• Architect RAG-based systems, AI agents, and orchestration frameworks with strong emphasis on reliability, observability, and continuous improvement.
• Integrate AI capabilities with ITSM platforms (e.g., ServiceNow), monitoring tools, automation engines, and knowledge management systems.
• Define and enforce AI architecture standards, reusable patterns, and operational guardrails including escalation paths and human-in-the-loop controls.
• Contribute to the AI roadmap based on delivered capabilities, focusing on measurable operational impact.
• Drive key outcomes such as incident deflection, MTTR reduction, automation coverage, and improved service quality.
• Partner closely with delivery, engineering, and operations teams while acting as a player-coach combining hands-on building with technical leadership.
• Lead adoption and scaling of AI-powered workflows across managed services environments.

Requirements:

• Proven experience designing and delivering AI/LLM-based systems, including agentic AI, RAG pipelines, and orchestration frameworks.
• Strong background in IT operations, managed services, or enterprise service delivery environments with a focus on automation and workflow optimization.
• Hands-on experience integrating with ITSM platforms such as ServiceNow, as well as observability and monitoring tools.
• Deep understanding of cloud-native architectures and scalable system design for production environments.
• Ability to translate operational and service delivery challenges into AI-driven technical solutions with measurable business outcomes.
• Experience building or deploying AI agents, AIOps solutions, or self-healing systems in production settings.
• Familiarity with multi-tenant architectures and enterprise-grade managed services platforms.
• Strong execution mindset with ability to move from concept to production quickly and effectively.
• Excellent communication skills with the ability to influence technical and operational stakeholders.

Benefits:

• Competitive annual compensation with On-Target Earnings (OTE) in the range of $225,000–$250,000 USD, depending on experience and location.
• Performance-based bonus included in total compensation package.
• Comprehensive health coverage including medical, dental, and vision insurance.
• 401(k) retirement savings plan.
• Generous paid time off and paid company holidays.
• Paid parental and caregiver leave.
• Access to advanced internal technology environments and engineering labs for innovation and experimentation.
• Professional development support including certifications, training, and continuous learning opportunities.
• Inclusive workplace culture with employee resource groups supporting diversity and belonging.
• Fully benefits-backed remote-friendly work environment within the United States.