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Logicalis

Global tech services for digital transformation

AI Integration & Automation Developer

AI Application EngineeringPosted on Nov 11
Full-timeRemote in USA$82.5k - $111k /yrRemote

About the Job

Requirements

  • A bachelor's degree in computer science, information technology, software engineering, or a related field, or equivalent experience.
  • At least 5 years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments.
  • Hands-on experience developing automation 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 or 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 to identify root causes, evaluate trade-offs, and implement sustainable fixes.
  • Strong communication and collaboration skills to work across technical and operational teams.
  • Ability to challenge assumptions, evaluate options, and recommend practical solutions.
  • Ability to work as a hands-on developer while collaborating with senior technical resources and business stakeholders.
  • Ability to document 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.
  • Ability to experiment, learn quickly, fail fast, and iterate toward durable solutions.

Responsibilities

  • Design, develop, and maintain AI-enabled automations, integrations, and workflow solutions supporting Managed Services.
  • Build AI orchestration patterns that connect systems, data, prompts, APIs, scripts, and operational workflows.
  • Develop automation solutions that reduce manual work, improve service delivery speed and consistency, or create measurable cost avoidance.
  • Create reusable components, connectors, scripts, and workflow patterns for use across multiple use cases.
  • Support implementation of internal AI Orchestration capabilities and related automation services within the Managed Services automation portfolio.
  • Analyze operational pain points and determine whether AI, automation, integration, process improvement, or a combination is the best solution.
  • Identify automation opportunities that address systemic problems rather than only isolated manual tasks.
  • Balance experimentation with production stability, supportability, security, and operational readiness.
  • Use data, outcome measures, and stakeholder feedback to validate whether automation work creates efficiency gains or business value.
  • Develop LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with appropriate guardrails and fallback logic.
  • Integrate with enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications as needed.
  • Troubleshoot automation defects, integration failures, and AI workflow issues, driving durable fixes and continuous improvement.
  • Document solution design, configuration, support steps, ownership, and knowledge articles to reduce key-person dependency.
  • Participate in testing, UAT, release readiness, change control, and production support activities for automation solutions.
  • Apply awareness of Managed Services delivery models, ITIL processes, and operational impact when designing automation solutions.
  • 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 emerging AI automation development practices, AI orchestration patterns, LLM tooling, integration frameworks, and service operations trends.
  • Maintain working knowledge of applicable federal, state, and local laws and regulations, as well as company policies and procedures, to support compliance and ethical professional conduct.
  • Conduct oneself consistently with customer service expectations.

Desired Qualifications

  • Working knowledge of Managed Services operations, ITIL practices, or service management processes.
  • Experience with cloud environments such as Azure, AWS, or GCP.
  • Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments.
  • Certifications related to AI, automation, cloud platforms, ITIL, or service management; examples include Microsoft Azure AI Engineer, Azure Administrator Associate, AWS certifications, ITIL Foundation, or relevant automation/platform certifications.
  • Curiosity about emerging AI automation development practices, orchestration frameworks, and service operations technology trends.
  • An outcome-oriented mindset focused on measurable efficiency gains, cost avoidance, quality improvement, and operational scalability.

About the Company

Logicalis

Global tech services for digital transformation

Logicalis helps organizations succeed in a digital-first world by providing lifecycle technology services across cloud, connectivity, collaboration, and security. It delivers next-generation digital managed services that offer real-time visibility and actionable insights into the performance of a client’s digital ecosystem—covering availability, user experience, security, economic performance, and sustainability. Unlike others that offer point solutions, Logicalis focuses on a blueprint-for-change approach and end-to-end support to optimize operations, reduce risk, and empower employees, with the goal of delivering sustainable outcomes that matter.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Slough, United Kingdom
Founded
1998

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