# Maximo AI EAM Specialist
## About the role
MaxAccelerate is seeking an experienced Maximo AI EAM Specialist to help organizations transform their operations using the latest MAS-native AI, WatsonX and DataMax AI capabilities.
You will support customers in implementing, understanding and scaling their AI infrastructure, enabling them to transition from reactive to predictive operations within several months.
## Key responsibilities
### AI & MAS 9.1 Implementation
- Implement or support implementation of MAS 9.1 AI Services:
- Maximo Assistant (natural language interface)
- Work Order Intelligence (problem code and classification recommendations)
- FMEA Builder
- Embedded WatsonX LLM & ML capabilities
- Reliability and maintenance workflows
- Configure AI features aligned with customer business rules, asset structures and operational 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 availability, integrity and AI model alignment in Maximo
### AI adoption & use case delivery
- Transform business processes by embedding AI in:
- Maintenance planning
- Work order lifecycle
- Fault analysis
- Reliability engineering
- Asset lifecycle management
- Identify valuable AI use cases and guide customers through their first 90 days of 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 customers in building an organization-wide AI Operating Model
## Requirements
### Required experience
- Maximo & MAS: 5+ years of experience with Maximo / MAS 8 / MAS 9
- Excellent understanding of Maximo EAM modules: Work Management, Assets, Job Plans, Preventive Maintenance, Locations, Inventory, Procurement
- Experience with MAS 9.1 features is a significant advantage
### AI & Reporting Technologies
- Experience with one or more of:
- 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