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Process Improvement Engineer

Job in Champaign, Champaign County, Illinois, 61825, USA
Listing for: Actalent
Full Time position
Listed on 2026-10-11
Job specializations:
  • Engineering
    AI Business & Operations, AI Engineer (Applied/Software), Automation & Mechatronics Engineer, Process Engineer
Salary/Wage Range or Industry Benchmark: 66000 - 73000 USD Yearly USD 66000.00 73000.00 YEAR
Job Description & How to Apply Below
Job Description

This role focuses on enhancing engineering processes by applying artificial intelligence, automation, and data-driven solutions. The Process Improvement Engineer identifies opportunities within product development and related engineering functions, designs and implements AI-enabled tools, and drives adoption of these solutions to improve efficiency, data quality, and speed to market across engineering teams.

Job Title:

Process Improvement Engineer

This role focuses on enhancing engineering processes by applying artificial intelligence, automation, and data-driven solutions. The Process Improvement Engineer identifies opportunities within product development and related engineering functions, designs and implements AI-enabled tools, and drives adoption of these solutions to improve efficiency, data quality, and speed to market across engineering teams.

Responsibilities
  • Identify and implement AI-driven improvements across engineering workflows, with a focus on product development and related processes.
  • Develop automation tools and data-driven solutions using Python and related technologies to streamline engineering activities.
  • Support product development, testing, validation, reliability, and sustaining engineering activities by creating and enhancing AI-enabled tools and processes.
  • Improve engineering data quality, structure, and accessibility to support analytics and AI applications across multiple functions.
  • Partner with cross-functional teams to understand their needs, drive process improvements, and promote adoption of AI and automation solutions.
  • Evaluate emerging AI tools, platforms, and technologies, and recommend solutions that deliver measurable business value.
  • Integrate AI tools with existing company data and systems, such as test results, specifications, and design documents, to ensure practical and scalable usage.
  • Validate and monitor AI outputs to ensure accuracy, reliability, and trustworthiness for engineering decision-making.
  • Use data analysis and engineering problem-solving techniques to identify bottlenecks and propose continuous process improvements.
  • Communicate technical concepts, solution designs, and process changes clearly to engineering and non-engineering stakeholders.
Essential Skills
  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Experience in product development, manufacturing, reliability, or process engineering.
  • Proficiency with Python or a similar programming language for automation and data-driven solutions.
  • Hands-on experience with automation, data analysis, and engineering problem solving.
  • Ability to apply AI tools or automation to improve processes or procedures in an engineering-focused role.
  • Strong communication skills and the ability to work effectively across multiple engineering functions.
  • Experience with Generative AI, ChatGPT, Copilot, large language models (LLMs), or AI-enabled workflows, OR experience with Power BI, Power Automate, SQL, analytics tools, or engineering systems.
  • Familiarity with process improvement and continuous improvement methodologies in an engineering context.
Additional

Skills & Qualifications
  • Experience in electrical engineering, mechanical engineering, or process engineering.
  • Experience in electrical design or mechanical design within a product development environment.
  • Exposure to digital transformation initiatives or Industry 4.0 technologies.
  • Experience with reliability engineering or manufacturing technologies.
  • Proficiency with Microsoft Office for documentation, reporting, and presentations.
  • Experience working with test data, data sets, and engineering data management.
  • Demonstrated ability to connect AI tools to company data or systems, such as test results, specifications, or design documentation.
  • Expe…
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