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Module Process Engineer Jobs in Spokane, WA (NOW HIRING)

... engineering and design * construction and facility services To get where we're going, we need big ... Manufacturing Systems & Process Enablement * Serve as Finance & Accounting lead for manufacturing ...

... engineering and design * construction and facility services To get where we're going, we need big ... Manufacturing Systems & Process Enablement * Serve as Finance & Accounting lead for manufacturing ...

Follows work processes closely at school and on the shop floor to ensure a safe environment while ... Learns PLCs and works with Automation Engineers in a laboratory environment.Learnsto perform work ...

Module Process Engineer information

See Spokane, WA salary details

$50K

$93K

$144.1K

How much do module process engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for module process engineer in Spokane, WA is $93,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $104,100.00 per year, depending on experience, location, and employer.

What is a module process engineer?

A Module Process Engineer is a specialist who designs, develops, and optimizes the manufacturing processes for specific modules or components in industries like semiconductors, electronics, or solar panels. They work to improve process efficiency, yield, and quality while ensuring that production meets technical and safety standards. Module Process Engineers often collaborate with cross-functional teams to troubleshoot issues, implement new technologies, and support scale-up efforts from prototype to mass production.

What are the key skills and qualifications needed to thrive as a module process engineer, and why are they important?

To thrive as a Module Process Engineer, you need a strong background in chemical engineering, materials science, or a related field, often backed by a relevant bachelor's or master’s degree. Familiarity with process simulation software, statistical process control tools, and experience with semiconductor manufacturing equipment are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and drive process improvements. These competencies are crucial for optimizing production efficiency, ensuring product quality, and maintaining competitiveness in advanced manufacturing environments.

What are some common challenges faced by module process engineers in semiconductor manufacturing, and how can they be addressed?

Module Process Engineers often encounter challenges such as maintaining process stability, minimizing defects, and meeting tight production schedules in a fast-paced semiconductor environment. These issues require strong analytical skills to quickly identify root causes and implement effective solutions, often while collaborating with cross-functional teams like equipment engineers and quality assurance. Staying updated with the latest process technologies and continuously improving process parameters are key to overcoming these challenges. Effective communication and adaptability are also essential, as priorities can shift rapidly based on production demands.

What is the difference between Module Process Engineer vs Process Engineer?

AspectModule Process EngineerProcess Engineer
CredentialsBachelor's in Chemical, Mechanical, or Industrial Engineering; often certifications in process improvementBachelor's in Engineering or related field; similar certifications in process optimization
Work EnvironmentManufacturing plants, semiconductor, or electronics industries focusing on module assemblyVarious industries including manufacturing, chemical, or energy sectors
Employer & Industry UsageElectronics, semiconductor, and specialized manufacturing companiesBroad industry use across manufacturing, chemical, and industrial sectors

The Module Process Engineer specializes in optimizing processes for specific modules or components within manufacturing, especially in electronics or semiconductor industries. In contrast, the Process Engineer has a broader role across various processes and industries. Both roles require similar technical skills and certifications but differ in focus and application.

How much does a module process engineer get paid?

A module process engineer's average salary typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in semiconductor manufacturing or process optimization may earn higher compensation, often supplemented with benefits and bonuses.

What are popular job titles related to Module Process Engineer jobs in Spokane, WA?

For Module Process Engineer jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Module Process Engineer jobs in Spokane, WA look for?

The top searched job categories for Module Process Engineer jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Module Process Engineer jobs?

Cities near Spokane, WA with the most Module Process Engineer job openings:

Infographic showing various Module Process Engineer job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $93,041 per year, or $44.7 per hour.

Forward Deployed Engineer I/II, AI Enablement

Watrust

Spokane, WA • On-site

$150 - $200/hr

Other

Medical, Life, Retirement

Posted 20 days ago


Job description

Job Category: Technical

Requisition Number: FORWA006464

  • Full-Time
Locations

Showing 1 location

Spokane, WA 99201, USA

Description

The Forward Deployed Engineer, AI Enablement partners with business areas across the Bank to identify, design, build, document, and improve AI-enabled workflows and capabilities that make it easy to Sell, Service, and Scale the company. This role helps translate business needs into practical solutions by combining business process understanding, data literacy, AI fluency, stakeholder communication, and lightweight technical implementation. The Forward Deployed Engineer works with business users, process owners, technology, data, security, risk, and governance partners to develop safe, useful, and reusable AI-enabled tools, templates, workflows, documentation, and service patterns. This position requires curiosity, critical thinking, creativity, strong follow-through, and comfort operating in work that may not be fully defined at the start.

Essential Functions:

  • Embeds with business teams and process owners to understand how work moves end to end across people, processes, systems, data, decisions, controls, handoffs, and exception paths.
  • Identifies high-value opportunities to reduce cognitive, context, coordination, execution, quality, or design burden.
  • Determines whether AI, deterministic automation, data capability, reporting, process redesign, or human judgment is the appropriate response.
  • Designs future-state workflows with clear ownership, human and AI responsibilities, review points, exception handling, data boundaries, system interactions, and control requirements.
  • Designs, builds, and validates working AI-enabled solutions that combine agents, approved data, APIs, automation, reporting, workflow components, and human review into cohesive business capabilities.
  • Develops agent instructions, system prompts, tool-use patterns, structured outputs, context and retrieval approaches, evaluation criteria, error handling, and escalation paths appropriate to the use case.
  • Uses programming, scripting, agentic development workflows, APIs, approved platforms, and automation tools to build, inspect, test, debug, and refine solutions.
  • Builds small, testable versions; validates them with domain experts and users; and iterates based on workflow fit, output quality, reliability, usability, adoption, and business value.
  • Advances successful prototypes toward operational use by defining production-readiness requirements, runbooks, monitoring expectations, service ownership, permissions, support paths, change requirements, and control points with appropriate partners.
  • Documents assumptions, decisions, limitations, risks, dependencies, evaluation results, support requirements, and handoff information so capabilities can be reviewed, maintained, supported, and reused.
  • Measures outcomes such as reduced cycle time, fewer handoffs, less rework, improved consistency, stronger decision context, increased operating capacity, adoption, governance confidence, and reuse.
  • Converts successful local solutions into reusable agents, modules, templates, data or context assets, playbooks, evaluation patterns, and service models that accelerate future work.
  • Identifies when an AI-enabled approach is inappropriate and recommends deterministic process, data, reporting, automation, or human-owned alternatives.
  • Escalates data, security, privacy, risk, compliance, governance, production, integration, or supportability concerns early and works with the appropriate owners to resolve or document them.

Qualifications:

  • Demonstrated ability to understand complex business processes, identify high-value improvement opportunities, and translate them into practical technology-enabled solutions.
  • Experience designing, building, testing, and operationalizing AI-enabled workflows, agents, automations, applications, reporting, or decision-support capabilities.
  • Working knowledge of agentic AI concepts, including instructions, tool use, structured outputs, contextual grounding, retrieval, human review, exception handling, orchestration, and evaluation.
  • Experience using agentic and command-line development workflows—including tools such as GitHub Copilot and Codex-style coding agents—to plan, generate, inspect, test, debug, and refine solutions.
  • Ability to direct coding agents through clear goals, context, constraints, acceptance criteria, and iterative review while maintaining human accountability for the resulting solution.
  • Experience integrating systems and data through APIs, connectors, automation platforms, relational databases, analytical platforms, or event-driven patterns.
  • Ability to build small, testable solutions, validate them directly with users, and iteratively improve reliability, usability, workflow fit, and measurable business value.
  • Strong data fluency, including experience with structured and unstructured data, data models, reporting, analytics, and the context required to ground AI solutions.
  • Experience within Microsoft’s enterprise technology ecosystem, which may include Microsoft Fabric, Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Power BI, Power Platform, Azure, and related services.
  • Understanding of production-readiness considerations, including permissions, security, monitoring, error handling, documentation, support ownership, change management, and operational controls.
  • Ability to work across business, operations, technology, data, security, risk, compliance, and governance teams in a regulated enterprise environment. Banking or financial-services experience is preferred.
  • Strong written, verbal, documentation, and facilitation skills, including the ability to create clear technical and operational materials, embed with business teams, learn unfamiliar domains quickly, explain technical concepts clearly, and navigate ambiguity.
  • Sound judgment in determining when AI is appropriate and when deterministic processes, traditional automation, reporting, data, or human-owned solutions would be more effective.
  • A builder mindset characterized by curiosity, adaptability, ownership, practical problem-solving, accountability for measurable outcomes, and the ability to convert successful solutions into reusable components and patterns.
  • Demonstrated self-motivation, initiative, attention to detail, and organizational ability; works effectively both independently and collaboratively.
  • Ability to prioritize multiple assignments, manage interruptions, and maintain a high level of service in a deadline-driven environment.
  • Ability to work additional hours as required by operational and production workloads.

Compensation:

The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. This position is eligible to participate in an applicable incentive plan.

What Our Culture Can Offer You

Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefitsHERE as part of your total compensation.

Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outline by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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