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Senior Process Engineer Jobs in Dallas, OR (NOW HIRING)

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Implement data pipelines and feature engineering processes to support reliable model training and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Implement data pipelines and feature engineering processes to support reliable model training and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Implement data pipelines and feature engineering processes to support reliable model training and ...

Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview As a Senior Engineer in the Fluid Controls group, you will develop innovative products and ... Experience with machining processes, injection molding, and electro-mechanical controls is also ...

New

Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview As a Senior Engineer in the Fluid Controls group, you will develop innovative products and ... Experience with machining processes, injection molding, and electro-mechanical controls is also ...

Senior Staff Mfg. Design Engineer

Salem, OR · Hybrid

$90K - $124K/yr

About the Role We are seeking an experienced Senior Staff Manufacturing Design Engineer to lead the ... Continuously improve documentation, design processes, and design standards to support scalability ...

Overview Sr. Supplier Quality Engineer will provide expertise and support to run cost efficient, effective and sustainable processes to ensure ongoing quality in accordance with international and ...

Overview Sr. Supplier Quality Engineer will provide expertise and support to run cost efficient, effective and sustainable processes to ensure ongoing quality in accordance with international and ...

Showing results 21-40

Senior Process Engineer information

See Dallas, OR salary details

$75.1K

$121.3K

$170.8K

How much do senior process engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior process engineer in Dallas, OR is $121,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $134,700.00 per year, depending on experience, location, and employer.

What does a senior process engineer do?

A Senior Process Engineer is responsible for designing, optimizing, and overseeing processes within manufacturing or production environments. They analyze workflows, troubleshoot issues, and implement improvements to increase efficiency, safety, and product quality. Senior Process Engineers often lead projects, mentor junior engineers, and collaborate with cross-functional teams to ensure operational excellence. Their expertise is vital in industries like chemicals, pharmaceuticals, oil and gas, and food processing.

What are the key skills and qualifications needed to thrive as a senior process engineer?

To thrive as a Senior Process Engineer, you need a strong background in chemical or process engineering, problem-solving skills, and typically a bachelor's or master's degree in a relevant field. Expertise in process simulation software (such as Aspen Plus or HYSYS), Six Sigma or Lean certifications, and familiarity with process control systems are highly valued. Outstanding analytical abilities, leadership, and effective communication set top performers apart in this role. These skills and qualifications are crucial for optimizing processes, ensuring safety and compliance, and leading teams to achieve operational excellence.

What are some common challenges senior process engineers face when working on cross-functional teams?

Senior Process Engineers often collaborate with professionals from various departments, such as operations, quality, and maintenance. A common challenge is aligning diverse priorities and communication styles to achieve shared project goals. Successfully managing these differences requires strong interpersonal and project management skills, as well as the ability to translate technical concepts for non-engineering colleagues. Regular meetings and clear documentation can help ensure everyone stays informed and engaged throughout the process.

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

AspectSenior Process EngineerProcess Engineer
QualificationsBachelor's or Master's in Engineering, often with 5+ years experienceBachelor's degree in Engineering or related field, typically 1-3 years experience
ResponsibilitiesLeading process improvements, mentoring, project managementSupporting process development, data analysis, assisting senior staff
Work EnvironmentDesign teams, manufacturing plants, R&D departmentsManufacturing facilities, engineering teams, operational support

Senior Process Engineers typically have more experience, leadership duties, and oversee complex projects, while Process Engineers focus on supporting process development and implementation. Both roles are essential in manufacturing and engineering industries, but the senior role involves greater responsibility and strategic planning.

How much does a senior process engineer earn?

A senior process engineer typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. They often have specialized skills in process optimization, project management, and may hold certifications like Six Sigma or PE licensure.

What are popular job titles related to Senior Process Engineer jobs in Dallas, OR?

For Senior Process Engineer jobs in Dallas, OR, the most frequently searched job titles are:

What cities near Dallas, OR are hiring for Senior Process Engineer jobs?

Cities near Dallas, OR with the most Senior Process Engineer job openings:

Infographic showing various Senior Process Engineer job openings in Dallas, OR as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,333 per year, or $58.3 per hour.

AI Engineer, Sr

Newberg, OR • On-site

$109K - $150K/yr

Full-time

Re-posted 7 days ago


A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
Overview
The AI Engineer, Sr plays a key role in building and scaling applied artificial intelligence capabilities across the organization. This role focuses on delivering practical AI solutions that drive automation, improve decision making, and enable predictive insights across business functions such as supply chain, finance, operations, sales, and customer service.
The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models, forecasting solutions, and agentic AI workflows. This is a hands-on engineering role that partners closely with business and technology teams to turn real world problems into scalable AI solutions. The role emphasizes production ready systems, responsible AI use, and measurable business impact rather than academic research.
JOB DUTIES AND RESPONSIBILITIES:
  • Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business
  • Build and maintain machine learning models and AI services used in production environments
  • Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows
  • Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments
  • Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools
  • Implement data pipelines and feature engineering processes to support reliable model training and inference
  • Evaluate and integrate third party AI platforms, APIs, and tools where appropriate
  • Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management
  • Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines
  • Ensure AI solutions meet security, privacy, and responsible AI standards
  • Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations
  • Measure and communicate business impact of AI solutions using clear metrics and outcomes
  • Document system designs, models, and operational processes to support knowledge sharing and scalability
  • Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required.
  • Stay current with applied AI trends and recommend practical innovations that align with business goals

QUALIFICATIONS:
Knowledge, Skills, and Abilities
  • Programming languages:
    • Python for building AI models, automation, and production services
    • SQL for working with structured data used in analytics, forecasting, and model inputs
  • Technical Skills:
    • Strong understanding of data pipelines, feature engineering, and data quality fundamentals
    • Experience integrating AI solutions with existing enterprise systems using APIs
    • Familiarity with cloud-based AI services and deployment patterns
    • Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring.
    • Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs
    • Understanding of software engineering best practices including version control, testing, and documentation
    • Knowledge of security, privacy, and responsible AI considerations in business environments
  • Preferred Programming Languages:
    • JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools
    • Bash or shell scripting for automation and deployment tasks
  • Preferred Technical Skills:
    • Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns
    • Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage
    • Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric
    • Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
    • Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services
    • Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting.
    • Experience evaluating and integrating third party AI platforms or vendors
    • Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes
    • Familiarity with emerging AI regulations and auditability techniques
    • Ability to mentor or guide others on applied AI best practices

Education and Experience
  • Bachelor's degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience
  • Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments.
  • Experience building and deploying applied AI or machine learning solutions in production environments
  • Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow
  • Practical experience using large language models via APIs for real world business use cases
  • Experience designing and implementing AI driven automation or agentic workflows

Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

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