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Decision Engineer Jobs in Portland, OR (NOW HIRING)

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

This role focuses on delivering practical AI solutions that drive automation, improve decision ... The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

This role focuses on delivering practical AI solutions that drive automation, improve decision ... The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models ...

Quality Engineer

Tualatin, OR · On-site

$80K - $100K/yr

  • Medical

  • Retirement

  • PTO

Makes the final decision on acceptability of product * Other duties as assigned Education and Experience: * Bachelor of Science required with an emphasis in Engineering from an accredited four-year ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial intelligence solutions that enhance automation, decision making, and predictive insights across various ...

Senior Dam Engineer

Portland, OR

$110K - $152K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Seattle office of Schnabel focuses on the evaluation and design of dams, structures, and facilities as well as advancing our practice of risk informed decision making within our dam engineering ...

Quality Engineer

Tualatin, OR · On-site

$80K - $100K/yr

  • Medical

  • Retirement

  • PTO

Makes the final decision on acceptability of product * Other duties as assigned Education and Experience: * Bachelor of Science required with an emphasis in Engineering from an accredited four-year ...

Quality Engineer

Tualatin, OR

$80K - $100K/yr

  • Medical

  • Retirement

  • PTO

Makes the final decision on acceptability of product * Other duties as assigned Education and Experience: * Bachelor of Science required with an emphasis in Engineering from an accredited four-year ...

Principal Product Engineer

Vancouver, WA · On-site +1

  • Medical

  • Dental

You will leverage AI tools and techniques to enhance development velocity, code quality, and decision-making. You will direct the efforts of engineers on your team and level their skills. You will ...

Every engineering decision matters. We're looking for a Sourcing Engineer to partner with Engineering, Manufacturing, Quality, Planning, Sourcing, and global suppliers to improve supplier performance ...

Every engineering decision matters. We're looking for a Sourcing Engineer to partner with Engineering, Manufacturing, Quality, Planning, Sourcing, and global suppliers to improve supplier performance ...

Mechanical Engineer

Portland, OR · On-site

$70K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Engineering team has an opening for a Mechanical Engineer. Location: Seattle, WA or Portland ... based decision making, and proficient use of technology to deliver exceptional design. We are ...

GenAI Python Systems Engineer-Manager

Portland, OR

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... decision-making and driving business growth. Those in artificial intelligence and machine learning ...

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Showing results 1-20

Decision Engineer information

See Portland, OR salary details

$38.7K

$113.8K

$145.8K

How much do decision engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for decision engineer in Portland, OR is $113,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $144,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Decision Engineer jobs in Portland, OR look for?

The top searched job categories for Decision Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Decision Engineer jobs?

Cities near Portland, OR with the most Decision Engineer job openings:

$109K - $150K/yr

Full-time

Re-posted 6 days ago


A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

2nd of 51 rated furniture manufacturers


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.

OverviewThe 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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