[Hiring] AI Integration & Automation Developer @Logicalis

Role Description

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.

Qualifications

• Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.
• 5+ years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments.
• Hands-on experience with automation development using tools or languages such as Python, PowerShell, JavaScript, APIs, workflow platforms, or low-code/no-code automation tools.
• Experience designing or supporting AI-enabled workflows, LLM-driven processes, AI agents, orchestration patterns, or intelligent automation solutions.
• Understanding of prompt design, structured outputs, human-in-the-loop patterns, guardrails, fallback logic, and practical considerations for production AI use cases.
• Experience integrating with operational platforms such as ITSM tools, monitoring/observability tools, cloud platforms, ticketing systems, knowledge bases, or internal business applications.
• Ability to analyze business or operational processes and convert requirements into working automation solutions.
• Working knowledge of Managed Services operations, ITIL practices, or service management processes is preferred.
• Experience with cloud environments such as Azure, AWS, or GCP is preferred.
• Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments is a plus.
• Strong troubleshooting skills with the ability to identify root causes, evaluate trade-offs, and implement sustainable fixes.
• Strong communication and collaboration skills with the ability to work across technical and operational teams.
• Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required.

Requirements

• Critical thinker with the ability to challenge assumptions, evaluate options, and recommend practical solutions.
• Curious and current on emerging AI automation development practices, orchestration frameworks, and service operations technology trends.
• Outcome-oriented mindset focused on measurable efficiency gains, cost avoidance, quality improvement, and operational scalability.
• Ability to operate as a hands-on developer while collaborating effectively with senior technical resources and business stakeholders.
• Strong documentation discipline, including solution design, support procedures, ownership details, release notes, and knowledge articles.
• Ability to manage multiple priorities in a fast-paced environment while maintaining quality and production stability.
• Comfortable experimenting, learning quickly, failing fast, and iterating toward durable solutions.

Benefits

• Salary Compensation Range: $77,517 - $100,000/yr.