AI Solutions Engineer

Key Responsibilities

• Design, develop, and implement AI-powered applications tailored for facilities operation and maintenance preventive maintenance programs.
• Analyze existing workflows and processes to identify opportunities for AI-driven enhancements, focusing particularly on predictive maintenance solutions.
• Build, train, and deploy machine learning models that enable predictive maintenance by analyzing equipment data, detecting anomalies, and forecasting potential failures.
• Collaborate with a multidisciplinary team of engineers, facilities managers, and IT professionals to align AI solutions with business objectives and operational needs.
• Generate actionable insights using data modeling, predictive analytics, and advanced statistical techniques.
• Ensure compliance with all cybersecurity protocols, privacy regulations, and security clearance requirements in both the development and deployment of AI solutions.
• Perform regular testing and validation of AI models to ensure their accuracy, reliability, and applicability to the PM program.
• Lead on-site working sessions to provide expert guidance, training, and technical support to stakeholders and team members during implementation.
• Stay updated on emerging AI technologies and trends, specifically in predictive maintenance and facilities operations, and recommend their application to enhance project outcomes.
• Provide detailed technical documentation, presentations, and reports on AI system design, development, and performance.

Required Qualifications

• Security Clearance: Active government TS security clearance
• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field
• 5+ years software/AI delivery
• 2+ years applied AI/ML or LLM systems
• Proven expertise in building and deploying predictive maintenance AI solutions or analytics systems
• Demonstrated ability to work on-site in secure environments
• Technical Skills: Proficiency in programming languages such as Python, R, or Java, with a strong focus on AI and machine learning libraries
• Strong knowledge of data preprocessing, feature engineering, and model development techniques
• Experience with AI algorithms and predictive analytics
• Knowledge of IoT or sensor data integration for facility equipment monitoring is a strong plus
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) for AI solution deployment
• Experience working in high-security environments is highly desirable
• Strong analytical, problem-solving, and communication skills
• Ability to work autonomously, as well as in a team-oriented environment

Preferred Qualifications

• Familiarity with facilities operations and maintenance workflows
• Experience with IBM Maximo integration
• Experience with secure air-gapped/local model deployment
• Experience with human-in-the-loop workflow, audit logging, and approval controls
• Experience with enterprise asset management (EAM) or computerized maintenance management systems (CMMS)
• Advanced statistics or optimization modeling experience to support cost-effective preventive maintenance practices
• Scrum or Agile certifications

Work Environment

• Availability to work on-site 3-5 days per week, based on project requirements, in a secure, classified setting
• Collaboration with cross-functional teams, including engineering, operations, and IT

Compensation Details

$170,000-$210,000 USD Annually

Benefits Overview

• Health, dental, and vision insurance
• Paid time off and holidays
• Retail benefits (including 401(k) matching)
• Education reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance