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Generative Ai Engineer Jobs in Oregon (NOW HIRING)

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

Particle41

AI Engineer

OR · On-site +1

Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. * Work closely with data engineering teams to build/maintain data pipelines ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Robots and Pencils

Staff AI Engineer

OR · On-site +1

$177K - $209K/yr

... generative AI development * Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems * Deep expertise with cloud platforms ...

Montefiore

Senior AI Engineer

Odell, OR · On-site

$107K - $147K/yr

... Engineer within the Data and Analytics function leverages their skills across Predictive ... Generative, and Agentic AI solutions to improve health for a diverse community and redesign the ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

LTS is seeking an AI Platform and Harness Engineer to develop and maintain the infrastructure ... Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at ...

Robots and Pencils

Forward Deployed Engineer

OR · On-site +1

... generative AI development * Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems * Deep expertise with cloud platforms ...

Arize AI

Senior AI Product Manager, Observability

OR · On-site +1

$200K - $250K/yr

... engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor ...

Nvidia

Senior Applied AI Engineer

Hillsboro, OR

$113K - $156K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

LTS

Lead AI Architect/Strategist

OR · On-site +1

... enabling Generative AI capabilities, and guiding the adoption of Large Language Models (LLMs ... This individual will work across engineering, data, product, cybersecurity, and leadership teams to ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Oregon

Generative Ai Engineer information

See Oregon salary details

$40.2K

$122.5K

$202.5K

How much do generative ai engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for generative ai engineer in Oregon is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $160,200.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Oregon?

The most popular types of Generative Ai Engineer jobs in Oregon are:

What are popular job titles related to Generative Ai Engineer jobs in Oregon?

For Generative Ai Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Oregon look for?

The top searched job categories for Generative Ai Engineer jobs in Oregon are:

What cities in Oregon are hiring for Generative Ai Engineer jobs?

Cities in Oregon with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Oregon as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $122,502 per year, or $58.9 per hour.

AI Engineer

OR • On-site, Remote

EM Key Solutions Inc
IT Services • 11 - 50 employees
Learn more about EM Key Solutions Incexternal

Full-time

Re-posted 5 days ago

Job description

AI Engineer
Remote, USA; potential for minimal ad hoc travel
EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.
The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.
Duties/Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:
  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases

Clearance:
  • S. Citizenship is requiredas is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:
Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.
If you are curious to learn more about EM Key Solutions, please visit our website at
EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Reasonable Accommodation Requests
EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
E-Verify
As a Federal Contractor, we are required to use to validate employees' ability to work legally in the United States.
EEO is the Law
The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.
Pay Transparency Non-Discrimination
EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
For information regarding your legal rights and protections, please click on the following link:

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