Project Background
An organization is seeking a consultant to provide staff augmentation services in support of developing an AI-enabled Facilities Maintenance Assistant. The successful candidate will collaborate with the Enterprise Asset Management (EAM) team to design, build, and test an AI-driven application that assists with maintenance planning and operational decision-making by leveraging data from the organization’s Computerized Maintenance Management System (CMMS).
Key Responsibilities
Design and implement an Agentic AI architecture to support a facilities maintenance assistant solution
Prepare, organize, and structure facilities and maintenance data for AI model use
Develop an AI-powered assistant capable of supporting maintenance planning and providing recommendations
Integrate the AI solution with the CMMS platform through APIs and related integration services
Support testing activities, solution refinement, and technical documentation
Position Overview
Demonstrated experience building AI or Generative AI applications
Experience working with Agentic AI frameworks and Retrieval-Augmented Generation (RAG) architectures
Experience integrating applications with enterprise systems through APIs
Experience with CMMS or facilities management systems is considered an asset
Role Responsibilities
Contribute to or lead software development initiatives using a combination of traditional project management approaches and agile development practices
Work closely with internal stakeholders and project sponsors to gather, clarify, and manage business and technical requirements
Participate in architecture discussions, design reviews, and solution planning activities
Produce design documentation, solution proposals, and implementation estimates for new or enhanced systems
Ensure development and support activities follow established methodologies and standards
Additional Skills and Qualifications
Knowledge or experience in data analysis
Advanced degree in Computer Science, Software Engineering, or a related discipline is considered an asset
Contract Details
Estimated Start Date: April 1, 2026
Contract Duration: 5 months
Work Arrangement: Hybrid
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