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Generative Ai Analyst Jobs in Portland, OR (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$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 ...

Trimble

Financial Analyst

Lake Oswego, OR

$78K - $107K/yr

Join Trimble's Customer FP&A team to directly partner with global customer leadership, leverage cutting-edge generative AI, and build advanced predictive models that optimize customer lifetime value ...

Deloitte

Oracle Gen AI Manager

Portland, OR

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... and analytic technologies? We're looking for someone that can increase the effectiveness of ...

Relativity

Software Engineer

Portland, OR · On-site

Write comprehensive unit and integration tests supported by static analysis and thoughtful test ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

Slalom Consulting

General Information

Portland, OR · On-site

$91K - $115K/yr

Analyze cloud, AI, and platform consumption patterns to identify cost drivers, optimization ... Awareness of AI, machine learning, generative AI, data platforms, and AI-enabled application ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Portland, OR

Generative Ai Analyst information

See Portland, OR salary details

$52K

$93.9K

$131K

How much do generative ai analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for generative ai analyst in Portland, OR is $93,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,500.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

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

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

What are popular job titles related to Generative Ai Analyst jobs in Portland, OR?

For Generative Ai Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Portland, OR look for?

The top searched job categories for Generative Ai Analyst jobs in Portland, OR are:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $93,927 per year, or $45.2 per hour.

Information Risk Analyst - AI

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 23 days ago

Job description


Title: Information Risk Analyst - AI
Duration: 12 Months - (Possible Extensions)
Location: Portland, OR - Remote
Work Hours: 8-5 PST
Job Description
  • The AI Information RiskAnalyst will be responsible for identifying, evaluating, and mitigatingrisks associated with the use of generative AI technologies in ourorganization. This role requires a blend of technical expertise,analytical skills, and strong ethical judgment to ensure that our AIinitiatives are both effective and compliant with regulatory standards.
  • 5 IRM team members whoperform Risk assessments for applications and projects. Standardapplications are used in daily tasks
  • Will be supporting theanalysis AI products (Anthropic Model Claude 3 and Microsoft Azure GPT 4)and Compnay applications (a Generative AI application implementationwith sub bots serving specific business areas)
  • Above mentioned models arebeing used within Company internal VPC with no access to internet.
  • A Security Analyst orInformation Risk Analyst with exposure, training, and maybe 1-2 projectscould meet this need
  • Working with project teamanalyzing use cases for AI implementation. This person will embed with theChatAI project team daily to understand the security needs for theupcoming roadmap items and will be a liaison to communicate any securityrequirements.

Key Responsibilities
  • Conduct comprehensive riskassessments of generative AI systems, identifying potentialvulnerabilities and threats.
  • Collaborate withcross-functional teams to design and implement robust AI securitymeasures.
  • Ensure compliance withrelevant legal, regulatory, and industry standards related to AI and dataprivacy.
  • Develop and maintain riskmanagement frameworks and policies specific to AI applications.
  • Perform regular audits andassessments to monitor the effectiveness of risk mitigation strategies.
  • Provide expert guidance on AIethics and responsible AI practices.
  • Prepare detailed reports andpresentations on risk assessment findings and recommendations for seniormanagement.
  • Stay updated with the latestadvancements in AI, cybersecurity, and risk management practices.

Requirements
REQUIREMENTS
  • Utilities experience notrequired but good to have.
  • Education Requirements(Experience in Lieu of Degree): Any AI certifications
  • Certification Requirements(Any Preferences): CIAP (nice to have)
  • How many years of experienceare you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills)
  • Understanding of AI/MLconcepts, algorithms, and models.
  • In-depth familiarity withcybersecurity principles and practices.
  • Understanding of ITinfrastructure, cloud platforms (AWS, Azure, Google Cloud), and theirsecurity protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
  • Ability to think analyticallyand critically about potential risks.
  • Ability to work effectivelywith cross-functional teams, including data scientists, IT professionals,legal advisors, and business leaders.
  • Strong sense of ethics andresponsibility regarding AI deployment and its societal impacts.

Apply