AI Led Senior Maximo Developer

Role

Title:

AI Led Senior Maximo Developer

Location:

UK (With expected travel)
Salary: Competitive salary and package dependent on experience

Career 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 Purpose Acting 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. 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 Management Act as senior technical escalation for Maximo/MAS incidents, triaging and resolving complex defects that earlier support lines cannot

Diagnose 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 defects

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

Maximo Configuration and Change Delivery Deliver configuration changes across Application Designer, workflow, escalations, conditional expressions, and security groups

Develop and maintain automation scripts (Python/Jython, JavaScript) to extend standard functionality including AI-enabled automation and integration patterns where these deliver clear client value

Maintain and enhance BIRT reports, KPIs, and ad-hoc reporting

Apply a configuration-first approach, favouring standard functionality over bespoke customisation to protect upgrade paths and reduce long-term cost of ownership

Release and Environment Management Own the promotion of changes through development, test, and UAT environments into production

Package 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 review

Plan and lead deployment windows, which may occasionally fall outside standard working hours

Maintain environment integrity and configuration consistency across the client estate

System Stability and Continuous Improvement 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 usersAI-Enabled Service Delivery and Innovation Apply AI and automation to service operations, accelerating 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…