AI Integration & Automation Developer

Summary The AI Integration & Automation Developer designs, builds, tests, and supports AI-enabled integrations and automation solutions that improve the efficiency, scalability, and quality of Managed Services operations. This role is delivery-focused and hands-on, translating operational problems into practical automation and AI workflow solutions that reduce manual effort, improve service consistency, and create measurable business value. This position requires strong critical thinking, curiosity about emerging AI automation capabilities, and the ability to evaluate where AI, orchestration, scripting, workflow automation, or traditional process improvement will drive the best outcome. The developer will work closely with technical and operational stakeholders and may receive dotted-line technical guidance from the AI Integration & Automation Engineer. Essential Duties and Responsibilities AI Integration & Automation Development * Designs, develops, and maintains AI-enabled automations, integrations, and workflow solutions supporting Managed Services. * Builds practical AI orchestration patterns that connect systems, data, prompts, APIs, scripts, and operational workflows. * Develops automation solutions that reduce manual work, improve service delivery speed, increase consistency, or create measurable cost avoidance. * Creates reusable components, connectors, scripts, and workflow patterns that can be leveraged across multiple use cases. * Supports implementation of internal AI Orchestration capabilities and related automation services as part of the Managed Services automation portfolio. Critical Thinking & Operational Problem Solving * Analyzes operational pain points and determines whether AI, automation, integration, process improvement, or a combination of approaches is the best solution. * Identifies automation opportunities that address systemic problems, not only isolated manual tasks. * Balances experimentation with production stability, supportability, security, and operational readiness. * Uses data, outcome measures, and stakeholder feedback to validate whether automation work is creating efficiency gains or business value. AI Automation Delivery & Support * Develops LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with appropriate guardrails and fallback logic. * Integrates with enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications as needed. * Troubleshoots automation defects, integration failures, and AI workflow issues, driving durable fixes and continuous improvement. * Documents solution design, configuration, support steps, ownership, and knowledge articles to reduce key-person dependency. * Participates in testing, UAT, release readiness, change control, and production support activities for automation solutions. Managed Services, ITIL & Collaboration * Applies awareness of Managed Services delivery models, ITIL processes, and operational impact when designing automation solutions. * Collaborates with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes.