
Digital Innovation & AI Specialist
- Spokane, WA
- $85,000-95,000 per year
- Permanent
- Full-time
- Digital Tool Integration: Evaluate, implement, and support emerging digital tools (e.g., generative AI, digital twins, industrial IoT, AR/VR, robotic process automation) to enhance engineering workflows.
- AI Application: Collaborate with engineering and the Digital Innovation Team to deploy AI/ML tools such as:
- Predictive maintenance models using sensor data
- Generative design and simulation tools (e.g., Autodesk Fusion 360, Siemens NX, nTopology)
- Computer vision for quality inspection
- Large Language Models (LLMs) for document automation and technical support
- Innovation Pipeline: Create a digital innovation roadmap aligned with business goals. Run pilot projects, track outcomes, and scale successful solutions.
- Cross-functional Collaboration: Act as a liaison between engineering, DI Team, production, and R&D to ensure cohesive adoption of digital solutions.
- Data Strategy: Help develop data governance practices, ensuring data collected from machinery, sensors, and ERP systems is clean, usable, and integrated for advanced analytics.
- Regulatory Compliance: In collaboration with the Data Governance team, ensure that solutions adhere to emerging regulatory requirements as well as complete any required reporting on our data practices.
- Training & Change Management: Develop training materials and lead change management efforts to ensure team adoption and understanding of new digital tools.
- Continuous Improvement: Stay ahead of industry trends, benchmark competitors, and propose continuous improvements using digital methodologies such as lean digital manufacturing or Industry 4.0/5.0 principles.
- Bachelor’s degree in Engineering, Computer Science, Industrial Technology, or related field
- Master’s degree a plus
- Certifications in AI, machine learning, or cloud AI platforms (AWS, Azure, Google Cloud)
- Certifications in digital transformation (e.g., MIT Digital Transformation, Industry 4.0)
- Must be able to perform each essential duty with a high degree of satisfaction.
- Work effectively in cross-functional teams, collaborating with individuals from diverse fields such as engineering, product, and more to achieve common goals.
- The experience and skill requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job.
- Qualified candidates must be authorized to work in the U.S. without requiring sponsorship now or in the future.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- 1-3 years of experience in digital transformation, industrial engineering, or manufacturing innovation roles.
- Proven experience with digital tools such as:
- Generative AI (e.g., ChatGPT, Copilot, Jasper, Claude)
- Predictive analytics tools (e.g., Azure ML, TensorFlow)
- CAD/CAM with AI-enabled design tools (e.g., SolidWorks with xDesign)
- Digital twin or simulation software (e.g., Ansys, Siemens)
- Data visualization platforms (e.g., Power BI, Tableau)
- Understanding of manufacturing systems such as MES, SCADA, ERP, and PLM.
- Familiarity with programming or scripting languages (e.g., Python, MATLAB) is preferred.
- Strong project management, communication, and problem-solving skills.
- Travel as needed.
- Sit at a desk or computer for extended periods of time.
- Move about the office and factory with occasional lifting, bending and reaching.
- Dial, hear and respond to telephone calls and inquiries.
- Communicate effectively (visually and verbally) with internal and external contacts.
- Meet requirements of daily attendance on job for a full, continuous work schedule.
- Good knowledge of company equipment, controls systems and software tools.
- Good application of company’s engineering processes and lean product development practices.
- Ability to work in teams and follow direction.
- Ability to flex tasks on a moment’s notice.