At least 5 years of experience with Maximo, MAS 8, or MAS 9.
Excellent understanding of Maximo Enterprise Asset Management modules, including Work Management, Assets, Job Plans, Preventive Maintenance, Locations, Inventory, and Procurement.
Experience with one or more of WatsonX.ai, including large language models, data labeling, and model governance; Cognos 11 or 12; or artificial-intelligence and machine-learning-based recommendations or predictive insights.
Strong understanding of classifications, codes, data quality frameworks, and related data concepts.
Ability to explain artificial intelligence concepts to non-technical users.
Ability to work with both technical and business teams.
Responsibilities
Lead or support deployment of MAS 9.1 AI Services, including Maximo Assistant, Work Order Intelligence, FMEA Builder, embedded WatsonX large language model and machine-learning capabilities, and reliability and maintenance artificial-intelligence workflows.
Configure artificial-intelligence features to align with customer business rules, asset structures, and operating models.
Use Cognos 12 and DataMax AI to build artificial-intelligence-driven dashboards, key performance indicator reporting, predictive maintenance views, and asset health intelligence.
Ensure data readiness, integrity, and artificial-intelligence model alignment across Maximo.
Embed artificial intelligence into maintenance planning, the work order lifecycle, failure analysis, reliability engineering, and asset lifecycle management.
Identify high-value artificial-intelligence use cases and guide customers through their first 90-day artificial-intelligence transformation.
Support partners with artificial-intelligence readiness, architecture, and rollout planning.
Train end users, planners, engineers, and executives on MAS 9.1 native artificial-intelligence and DataMax AI features.
Assist clients in building an organization-wide artificial-intelligence operating model.
Desired Qualifications
Experience with Failure Mode and Effects Analysis, Root Cause Analysis, and reliability engineering.
Knowledge of predictive maintenance or asset performance management.
Experience with Maximo upgrades, migrations, or integrations.
Exposure to DataMax AI or similar intelligence layers.
Certification in Maximo or WatsonX.
Job Title: Maximo AI EAM Specialist
Location: Remote / Hybrid (Global Projects) Company: MaxAccelerate Department: AI & Intelligent Asset Management Practice Type: Full-Time / Contract
About the Role
MaxAccelerate is one of the market leaders in MAS 9 / MAS 9.1 AI deployments, with over 50+ successful installations supporting customers and partners worldwide. As we grow our AI practice, we are looking for an experienced Maximo AI EAM Specialist to help organisations transform their operations using the latest MAS-native AI, WatsonX, and DataMax AI capabilities.
This is a rare opportunity to work at the forefront of the AI-native Maximo era. You will support clients in deploying, understanding and scaling their AI infrastructure, enabling them to move from reactive to predictive operations within months.
If you are passionate about Maximo, reliability, data, and the future of AI in asset management — this is the role for you.
Key Responsibilities
AI & MAS 9.1 Implementation
Lead or support deployment of MAS 9.1 AI Services including:
Maximo Assistant (natural language interface)
Work Order Intelligence (problem code & classification recommendations)
FMEA Builder
Embedded WatsonX LLM & ML capabilities
Reliability and maintenance AI workflows
Configure AI features to align with customer business rules, asset structures and operating models.
Intelligent Reporting & Data Architecture
Work with Cognos 12 and DataMax AI to build:
AI-driven dashboards
KPI reporting
Predictive maintenance views
Asset health intelligence
Ensure data readiness, integrity and AI model alignment across Maximo.
AI Adoption & Use Case Delivery
Transform customer business processes by embedding AI into:
Maintenance planning
Work order lifecycle
Failure analysis
Reliability engineering
Asset lifecycle management
Identify high-value AI use cases and guide customers through their first 90-day AI transformation.
Partner Enablement & Customer Success
Support MaxAccelerate partners with AI readiness, architecture and rollout planning.
Train end-users, planners, engineers and executives on MAS 9.1 native AI + DataMax AI features.
Assist clients in building an organisation-wide AI Operating Model.
Required Experience
Maximo & MAS
5+ years experience with Maximo / MAS 8 / MAS 9
Excellent understanding of Maximo EAM modules including Work Management, Assets, Job Plans, Preventive Maintenance, Locations, Inventory, Procurement
Experience with MAS 9.1 features is a major advantage
AI & Reporting Technologies
Experience with one or more of the following:
WatsonX.ai (LLMs, data labelling, model governance)
Cognos 11/12
AI/ML-based recommendations or predictive insights
Strong data understanding (classifications, codes, data quality frameworks)
Soft Skills
Passion for AI and the future of intelligent asset management
Excellent communication skills — ability to explain AI concepts to non-technical users
Strong consulting and problem-solving capabilities
Ability to work with both technical and business teams
Preferred (Nice to Have)
Experience with FMEA, RCA, and reliability engineering
Knowledge of predictive maintenance or asset performance management
Experience with Maximo upgrades, migrations or integrations
Exposure to DataMax AI or similar intelligence layers
Certification in Maximo or WatsonX is a plus
Why Join MaxAccelerate?
Work with the global market leader in MAS 9.1 AI transformation
Be part of the team shaping the AI-native future of Maximo
Access world-class AI tools (WatsonX, DataMax AI, Cognos 12)
Deliver high-impact, real-world AI solutions for major organisations
Significant career development in a fast-growing industry segment