AI Led Senior Maximo Developer

Role Title: AI Led Senior Maximo Developer

Location:
UK (With expected travel)

Salary:
Competitive salary and package dependent on experienceCareer Level: Consultant Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.
Role PurposeActing as a senior technical authority, the role is accountable for the stability, supportability, and controlled evolution of live client Maximo and Maximo Application Suite (MAS) environments.

If you want to know about the requirements for this role, read on for all the relevant information.

The individual triages and resolves complex defects, delivers configuration changes safely, and owns the movement of releases through test environments into production.
The focus is service continuity: keeping business-critical asset management platforms stable, performant, and responsive to change throughout their operational life.

The individual partners closely with implementation teams and will contribute technical expertise to project and migration work as required.
The role champions an AI-first approach both in the asset management solutions we support and in how we support them.

Internally, this means applying AI and automation to accelerate defect diagnosis, root cause analysis, regression testing, and release validation, and building the reusable accelerators, intelligent agents, knowledge assets, and automation frameworks that improve consistency and productivity across client engagements.

Client facing, it means identifying and developing opportunities to extend Maximo solutions with AI-enabled capability, moving clients from reactive maintenance towards predictive, data-driven asset management.

Key Responsibilities
Application Support and Defect ManagementAct as senior technical escalation for Maximo/MAS incidents, triaging and resolving complex defects that earlier support lines cannotDiagnose issues spanning the application front end, configuration, integrations, and underlying data, working within agreed client SLAsLeverage AI-assisted analysis to support incident triage and defect recurring patterns across defectsLead 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 issuesMaximo Configuration and Change DeliveryDeliver configuration changes across Application Designer, workflow, escalations, conditional expressions, and security groupsDevelop and maintain automation scripts (Python/Jython, JavaScript) to extend standard functionality including AI-enabled automation and integration patterns where these deliver clear client valueMaintain and enhance BIRT reports, KPIs, and ad-hoc reportingApply a configuration-first approach, favouring standard functionality over bespoke customisation to protect upgrade paths and reduce long-term cost of ownershipRelease and Environment ManagementOwn the promotion of changes through development, test, and UAT environments into productionPackage changes safely using DBC scripting and Migration Manager, producing deployment documentation and release notes, using approved AI-enabled tools to accelerate documentation and validation while maintaining appropriate technical reviewPlan and lead deployment windows, which may occasionally fall outside standard

working hours
Maintain environment integrity and configuration consistency across the client estateSystem Stability and Continuous ImprovementMonitor platform health and performance, identifying and addressing issues proactivelyDrive continuous improvement to reduce ticket volume and improve platform stability, identifying opportunities for AI-enabled automation, proactive support, and intelligent self-serviceMonitor and troubleshoot live integrations across MIF, REST and SOAP interfaces, and scheduled processesApply predictive monitoring and anomaly detection to identify emerging platform issues before they affect usersAI-Enabled Service Delivery and InnovationApply AI and automation to service operations, accelerating defect diagnosis, root cause analysis, regression testing, and release validationDefine, create, and maintain reusable AI-enabled support assets, intelligent agents, prompt libraries, runbooks, and automation frameworks for use across client engagementsIdentify and develop opportunities to extend client Maximo solutions with AI-enabled capability, including predictive maintenance, anomaly detection, and intelligent decision supportDocument and structure support knowledge, recurring patterns, and lessons learned into reusable assets that improve service quality and reduce resolution timesContribute to responsible AI practice, including model governance and data quality