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Process Engineering Manager Jobs in Vaughn, MT (NOW HIRING)

Field Engineer

Great Falls, MT · On-site

$70K - $110K/yr

... s), engineering/design, subcontractors, distributors, vendors, and the ongoing strategic ... Manage the compilation, processing, and customer approval of daily labor timesheets. * Compile and ...

Field Engineer

Great Falls, MT · On-site

$70K - $110K/yr

... s), engineering/design, subcontractors, distributors, vendors, and the ongoing strategic ... Manage the compilation, processing, and customer approval of daily labor timesheets. * Compile and ...

... s), engineering/design, subcontractors, distributors, vendors, and the ongoing strategic ... Manage the compilation, processing, and customer approval of daily labor timesheets. * Compile and ...

... s), engineering/design, subcontractors, distributors, vendors, and the ongoing strategic ... Manage the compilation, processing, and customer approval of daily labor timesheets. * Compile and ...

The position reports to the District Preconstruction Engineer (DPE) and is under the technical ... application process, please contact the HR representative listed below. Required Education and ...

The position reports to the District Preconstruction Engineer (DPE) and is under the technical ... application process, please contact the HR representative listed below. Required Education and ...

Sr. Project Engineer

Great Falls, MT · On-site

$86K - $113K/yr

Manage the compilation, processing, and customer approval of daily labor timesheets. * Review and ... Perform complex engineering calculations and technical drafting to support field operations.

Showing results 41-60

Process Engineering Manager information

See Vaughn, MT salary details

$18.8K

$109.6K

$170.5K

How much do process engineering manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for process engineering manager in Vaughn, MT is $109,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $129,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a process engineering manager?

To thrive as a Process Engineering Manager, you need a solid background in engineering principles, process optimization, and project management, typically supported by a bachelor’s or master’s degree in engineering and relevant experience. Familiarity with Six Sigma, Lean Manufacturing, CAD software, and process simulation tools, as well as certifications like PMP or Six Sigma Black Belt, is often required. Strong leadership, problem-solving, and communication skills help drive continuous improvement and effective team collaboration. These competencies are crucial for enhancing productivity, ensuring quality, and leading successful engineering projects within complex manufacturing environments.

What are some common challenges faced by process engineering managers when leading cross-functional projects?

Process Engineering Managers often encounter challenges such as aligning the priorities of different departments, managing resource constraints, and ensuring clear communication across teams. Navigating varying technical backgrounds and expectations requires strong leadership and problem-solving skills. Building consensus around process improvements and balancing short-term production goals with long-term process optimization are also key aspects of the role. Effective collaboration, adaptability, and proactive stakeholder engagement help overcome these challenges.

What is the difference between Process Engineering Manager vs Process Engineer?

AspectProcess Engineering ManagerProcess Engineer
ResponsibilitiesOversees process development, manages teams, and ensures project successDesigns, tests, and implements manufacturing processes
Required CredentialsBachelor's or Master's in Engineering, often with experience in managementBachelor's in Engineering or related field
Work EnvironmentLeadership roles in manufacturing or chemical plantsHands-on process design and optimization in production settings
Industry UsageCommon in manufacturing, chemical, and oil & gas industriesFound across similar industries, focusing on process development

The Process Engineering Manager typically leads teams and manages projects, requiring leadership skills and experience, while the Process Engineer focuses on designing and optimizing processes. Both roles are essential in manufacturing industries and often share educational backgrounds, but differ in scope and responsibilities.

What does a process engineering manager do?

A Process Engineering Manager oversees the design, implementation, and optimization of manufacturing or production processes within an organization. They lead a team of engineers to improve efficiency, quality, and safety in production methods. Their responsibilities include analyzing workflow, implementing process improvements, managing projects, and ensuring compliance with industry standards. Process Engineering Managers also collaborate with other departments to support product development and cost reduction initiatives.
What cities near Vaughn, MT are hiring for Process Engineering Manager jobs? Cities near Vaughn, MT with the most Process Engineering Manager job openings:
Infographic showing various Process Engineering Manager job openings in Vaughn, MT as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $109,592 per year, or $52.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Great Falls, MT • On-site

Other

Re-posted 17 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.