AI Integration & Automation Developer

Logicalis GmbH

. Design, develop, test, maintain, and support AI-enabled automations, integrations, and workflow solutions for Managed Services .

Posted 9/21/2026full-timeRemote • United StatesMid-LevelSenior💰 $77,517 - $98,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-enabled automations, integrations, and workflows, with a strong focus on Python, PowerShell, and JavaScript. Capable of analyzing operational processes to create efficient automation solutions while effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

AI Workflow DevelopmentPython ProgrammingAutomation IntegrationTroubleshooting SkillsCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPowerShellJavaScriptAPIsWorkflow PlatformsLow-Code/No-Code AutomationAI-Enabled WorkflowsLLM-Driven ProcessesIntegration with ITSM ToolsData Pipelines

Soft Skills

Strong CommunicationCollaboration SkillsCritical ThinkingDocumentation DisciplineAbility to Manage Multiple Priorities

Tools & Technologies

AzureAWSGCPMonitoring ToolsTicketing SystemsKnowledge BasesEvent-Driven WorkflowsContainerized Environments

Certifications & Qualifications

AI CertificationsAutomation CertificationsCloud Platform CertificationsITIL CertificationsService Management Certifications

Industry Keywords

Managed ServicesITIL PracticesService Management ProcessesOperational WorkflowsHuman-in-the-Loop Patterns

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformITSMJavaScriptPython

About the role

Key responsibilities & impact

Design, develop, test, maintain, and support AI-enabled automations, integrations, and workflow solutions for Managed Services
Build AI orchestration patterns connecting systems, data, prompts, APIs, scripts, and operational workflows
Develop automation that reduces manual work, improves service delivery speed and consistency, and creates measurable cost avoidance
Create reusable components, connectors, scripts, and workflow patterns across multiple use cases
Support internal AI Orchestration capabilities and related automation services
Analyze operational pain points and determine whether AI, automation, integration, process improvement, or a combination is the best solution
Identify systemic automation opportunities and validate efficiency gains or business value using data, outcome measures, and stakeholder feedback
Develop LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with guardrails and fallback logic
Integrate enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications
Troubleshoot automation defects, integration failures, and AI workflow issues; implement durable fixes and continuous improvements
Document solution designs, configurations, support steps, ownership, release notes, and knowledge articles
Participate in testing, UAT, release readiness, change control, and production support
Collaborate with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes
Communicate technical concepts to technical and non-technical audiences
Stay current on AI automation development, orchestration patterns, LLM tooling, integration frameworks, and service operations trends
No supervisory responsibilities; may receive dotted-line technical guidance from senior AI automation resources

Requirements

What you’ll need

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 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 production AI considerations
Experience integrating with 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
Strong troubleshooting skills, including root-cause analysis, trade-off evaluation, and sustainable fixes
Strong communication and collaboration skills across technical and operational teams
Critical thinking, documentation discipline, ability to manage multiple priorities, and willingness to experiment and iterate
Working knowledge of Managed Services operations, ITIL practices, or service management processes is preferred
Experience with Azure, AWS, or GCP is preferred
Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments is a plus
Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required