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WC
Hybrid Lead Smart Manufacturing Systems Architect
Posted last week
About the role
- Lead Smart Manufacturing Systems Architect leading AI projects across multiple manufacturing sites at Westinghouse. Driving smart manufacturing strategy and enhancing operational efficiency and quality.
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
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).
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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