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Accenture

Advises businesses and runs their technology

AI Led Senior Maximo Developer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Minimum 6 years of hands-on IBM Maximo experience, including delivery in a senior or lead technical capacity.
  • Strong hands-on Maximo configuration experience with Application Designer, workflow, escalations, conditional expressions, and security groups.
  • Proven defect triage and root cause analysis experience on live, business-critical systems.
  • Experience managing releases and environments, including promoting changes through test environments into production using DBC scripting and Migration Manager.
  • Experience working to client service-level agreements, with ITIL-aligned incident, problem, change, and release management.
  • Experience with automation scripting in Python/Jython and JavaScript, and strong SQL skills.
  • Working knowledge of Maximo Integration Framework and REST/SOAP interfaces sufficient to monitor and troubleshoot live integrations.
  • Functional grounding in Work Management, Asset Lifecycle, Inventory, Procurement, PM/Job Plans, and Service Management.
  • Strong client-facing communication and judgment to translate business problems into appropriate Maximo solutions, including standard functionality rather than custom development when appropriate.
  • Experience creating reusable delivery accelerators, automation frameworks, or AI-enabled assets.
  • Ability to identify opportunities for AI in client solutions and explain the value to technical and business stakeholders.

Responsibilities

  • Act as the senior technical escalation point for Maximo/MAS incidents, triaging and resolving complex defects that earlier support lines cannot resolve.
  • Diagnose issues spanning the application front end, configuration, integrations, and underlying data while working within agreed client service-level agreements.
  • Use AI-assisted analysis to support incident triage and identify recurring defect patterns.
  • Lead root cause analysis on major incidents and convert trend analysis into permanent fixes rather than repeat workarounds.
  • Provide front-end application support to end users and client super-users, resolving usability, access, and data issues.
  • Deliver configuration changes across Application Designer, workflow, escalations, conditional expressions, and security groups.
  • Develop and maintain automation scripts in Python/Jython and JavaScript to extend standard functionality, including AI-enabled automation and integration patterns where they deliver clear client value.
  • Maintain and enhance BIRT reports, KPIs, and ad-hoc reporting.
  • Apply a configuration-first approach, favoring standard functionality over bespoke customization to protect upgrade paths and reduce long-term cost of ownership.
  • Own the promotion of changes through development, test, and UAT environments into production.
  • Package changes using DBC scripting and Migration Manager; produce deployment documentation and release notes, using approved AI-enabled tools to accelerate documentation and validation while maintaining appropriate technical review.
  • Plan and lead deployment windows, which may occasionally fall outside standard working hours.
  • Maintain environment integrity and configuration consistency across the client estate.
  • Monitor platform health and performance, identifying and addressing issues proactively.
  • Drive continuous improvement to reduce ticket volume and improve platform stability, identifying opportunities for AI-enabled automation, proactive support, and intelligent self-service.
  • Monitor and troubleshoot live integrations across MIF, REST and SOAP interfaces, and scheduled processes.
  • Apply predictive monitoring and anomaly detection to identify emerging platform issues before they affect users.
  • Use AI and automation in service operations to accelerate defect diagnosis, root cause analysis, regression testing, and release validation.
  • Define, create, and maintain reusable AI-enabled support assets, intelligent agents, prompt libraries, runbooks, and automation frameworks for use across client engagements.
  • Identify and develop opportunities to extend client Maximo solutions with AI-enabled capability, including predictive maintenance, anomaly detection, and intelligent decision support.
  • Document and structure support knowledge, recurring patterns, and lessons learned into reusable assets that improve service quality and reduce resolution times.
  • Contribute to responsible AI practice, including model governance and data quality, in regulated and safety-critical client environments.
  • Contribute technical expertise to implementation and migration projects as client demand requires.
  • Help grow the Maximo capability and shape how AI is embedded into service delivery and the client offering.
  • Mentor junior support and development colleagues and lead peer review of configuration and code.
  • Support bids, client demonstrations, and service transition activity as a technical subject matter expert.

Desired Qualifications

  • Hands-on delivery experience with Maximo Application Suite (MAS 8 or MAS 9), ideally including an end-to-end migration.
  • Experience with machine learning, predictive analytics, or generative AI applied to asset management.
  • Experience with Maximo Health, Predict, Monitor, or Visual Inspection.
  • Familiarity with AI governance and responsible AI practice.
  • Experience with Java/J2EE MBO customization.
  • Experience contributing to Maximo implementation or migration projects.
  • Experience with Red Hat OpenShift, Kubernetes, and containerized deployment.
  • Experience with automated deployment pipelines and version-controlled configuration promotion.
  • Experience with ServiceNow or equivalent ITSM tooling.
  • IBM Maximo Manage v9.0 or v8.0 certification, or MAS Foundation certification; candidates without certification should be willing to achieve it within their first year, with funding and support provided.
  • Experience in Aerospace & Defence, MRO, utilities, rail and transport, oil & gas, facilities management, or other asset-intensive regulated industries.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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