SMART Manufacturing AI Engineer

Westinghouse Electric Company, LLCCranberry Township, PA
2dRemote

About The Position

As a Lead Smart Manufacturing Systems Architect – AI you will lead the development of AI projects across multiple manufacturing sites. You will play a critical part in driving our smart manufacturing strategy by applying AI technologies to enhance operational efficiency and quality. You will report to the Senior Manager of Digital Manufacturing and will support the role remotely requiring 25% travel.

Requirements

  • Bachelor's degree in computer science, data science, engineering or related field required.
  • MES experience (Apriso or equivalent)
  • Experience with manufacturing processes or past exposure to manufacturing environment
  • Minimum 5 years of experience in AI, machine learning, or data analytics, with at least 3 years in a project management role.
  • Experience deploying AI/ML solutions in manufacturing or industrial environments.
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Proficiency in programming languages (e.g., Python, R, and SQL).
  • Knowledge of manufacturing processes, MES, and Ilott systems.
  • Excellent project management skills with familiarity in Agile or Lean methodologies.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with statistical process control (SPC) and advanced analytics tools.
  • Certifications such as PMP, Six Sigma, or AI-specific credentials.
  • Tangible Return on investment achieved through AI projects.
  • Reduction in cycle times, defects, or costs attributed to AI solutions.
  • Adoption rate of AI processes across sites.

Responsibilities

  • Help develop a comprehensive AI strategy aligned with our smart manufacturing goals. Identify opportunities for AI deployment across manufacturing processes.
  • Collaborate with plant managers, process engineers, and data scientists to identify impactful AI projects. Scope projects, define goals, and create detailed execution plans.
  • This role would bridge manufacturing operations, automation, analytics, and AI to create scalable digital solutions tied directly to plant KPIs in safety, quality, delivery, and cost
  • Provide expertise in AI methodologies, tools, and frameworks. Guide teams in developing models, algorithms, and solutions tailored to manufacturing challenges.
  • Provide full end-to-end support to operationalize AI applications within manufacturing environments
  • Work with IT, data analytics, and engineering teams to integrate AI solutions into existing systems.
  • Implement performance metrics to evaluate AI project effectiveness. Lead continuous improvement efforts to refine models and processes.
  • Promote AI literacy within the organization by conducting workshops and training sessions. Advocate for AI adoption at all organizational levels.
  • Deliver concise updates to senior management, emphasizing Return on Investment, project milestones, and important outcomes directly tied to manufacturing KPIs

Benefits

  • Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
  • Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
  • 401(k) with Company Match Contributions to support employees' retirement
  • Paid Vacations and Company Holidays
  • Opportunities for Flexible Work Arrangements to promote work-life balance
  • Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
  • Global Recognition and Service Programs to celebrate employee accomplishments and service
  • Employee Referral Program
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