WECTEC Staffing Services delivers customer-focused solutions, offering everything from high-volume, cost-effective staffing to specialized niche roles, while maintaining best-in-class service. Our employees bring expertise across technical and corporate functions, supporting international contracts in over five countries.
Lead Smart Manufacturing Systems Architect
Location
United States
Posted
9 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
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.
- 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.
- 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.
Qualifications
- 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).
Requirements
- We are committed to transparency and equity in all of our people practices.
- The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $103,200 to $129,000 per year.
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.
Job 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).
- We are committed to transparency and equity in all of our people practices.
- The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $103,200 to $129,000 per year.
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.