AI Engineer

Duties

• Influence AI strategy and help drive AI adoption.
• Establish secure, scalable, and responsible AI architecture standards, within a CMMC certified environment.Integrate AI systems with existing IT infrastructure and ensure seamless operation. Ensure AI system designs align with enterprise data models, data governance policies, data retention standards, and lineage requirements.
• Design solutions that integrate various systems and technologies to meet business objectives. Understand business problems and identify opportunities to implement data science solutions. Architect end to end data flows, ensuring high quality data ingestion, transformation, storage, and retrieval across structured, semi structured, and unstructured data sources.
• Design AI powered and GenAI enabled applications and services to support business processes by collaborating with stakeholders, including Engineering, Operations, support functions, and other IT professionals.
• Design, develop, and deploy machine learning models and algorithms from proof of concept through production deployment.
• Develop, verify, and validate analytics to address business needs and opportunities.
  
  

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• Apply lean methodologies to identify opportunities for process improvement.
  
  

Job Qualification Requirements

Educational Experience- Bachelors degree in Computer Science, Data Science, Mathematics, Statistics, or Engineering. Five years or more experience deploying AI solutions at scale.

Experience-

• Experience with Generative AI, AI Agents, or Reinforcement Learning
• Python proficiency and experience with major ML frameworks and AI platforms
• Experience in a regulated manufacturing, aerospace, or defense environment highly desired.
• Experience with MES/ERP systems, quality management systems, and manufacturing data preferred.
• NLP/document AI
  
  

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• Strong analytical and problem-solving skills, with knowledge of forecasting and data modeling.
  
  

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• Experience with handling unstructured data, including images, videos, and text.
  
  

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• A proactive mindset with the drive to turn ideas into measurable outcomes.
• Experience developing data and machine learning-based solutions and deploying them to production with many users
  
  

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• Ability to simplify complex technical concepts and influence technical and business stakeholders.
• Strong foundational knowledge of enterprise data architecture, including data modeling (conceptual, logical, physical), metadata management, master data management (MDM), and data integration patterns.
  
  

Physical Demands- The Employee Is Required To

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• stand, walk, push, pull, reach overhead, and bend to floor
• exert 20 to 50 pounds of force occasionally, and/or
• exert 10 to 25 pounds of force frequently, and/or
• exert up to 10 pounds of force constantly to move objects.
  
  

Certification Required- None required

Visual Acuity- Accommodations as required for reading computer screens and documents.

Hearing Ability- Accommodations as required for communicating with internal and external customers.

Working Conditions- Normally works in an office environment. Occasionally the employee is subject to

• shop floor environment
• high noise levels from operating machines
• physical hazards from moving equipment and production components
• breathing fumes, dust and mist
• skin exposure to oils and cutting fluids.
• welding flashes
  
  

The employee may be required to follow other job-related instructions and to perform other job-related duties as requested, subject to all applicable state and federal laws.

Attendance is an essential job function. After hours / weekend support occasionally required.

Employees will operate in compliance of all recognized standards that Major Tool adheres to (such as AS9100, ISO 9000), incl ding all supporting policies and procedures.