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Genai Engineer Jobs in Oregon (NOW HIRING)

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations. * Partner with data engineering teams on pipeline ...

Experience with machine learning and GenAI is highly valuable to help us build and deliver training ... Working with other Curriculum Developers to produce high quality on-demand training content for the ...

$55.75 - $74.50/hr

The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI ... Gemini APIs and other managed GenAI services (as approved by NYL governance) * BigQuery ML and AI ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven automation

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Senior Software Engineer, Site Reliability

OR · On-site +1

$57 - $75.75/hr

Experience leveraging LLM/GenAI to improve SRE efficiency and processes Position Location - This role is available in the following locations: Remote, San Mateo, Columbus, Austin, NY Time Zone ...

Senior Applied ML Engineer

OR · On-site +1

$104K - $143K/yr

Experience shipping GenAI or LLM-powered features using frameworks like LangChain, LlamaIndex, or ... Strong intuition for prompt engineering, model testing, and evaluation methodologies * Experience ...

Build and contribute to GenAI-powered pipelines that scale creative fulfillment and personalization ... Collaborate with engineers, product managers, content designers, data scientists, and business ...

OR · On-site

$58.75 - $78.50/hr

As an Application Security Engineer, you'll play a meaningful role in helping our development ... Working with cutting-edge GenAI tools and technology while supporting AI governance frameworks and ...

OR · On-site

$177K - $209K/yr

This role is ideal for an experienced engineer who thrives on architectural decisions, can ... Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI ...

About the role At DevRev, Enterprise Sales Engineers are customer-obsessed technical professionals ... Experience and understanding of LLMs/GenAI models, ML, and applied agentic solutions * Willingness ...

OR · On-site

$179K - $231K/yr

Technical Skills AI / ML / GenAI Expertise * Deep understanding of modern AI architectures: LLMs ... Deep knowledge of SRE principles: SLIs/SLOs, incident management, error budgets. * Experience ...

OR

$142K/yr

Partner with engineering teams to improve the security of AI-assisted developer workflows and GenAI-enabled systems, including agentic tooling, coding assistants, and internal AI integrations that ...

Senior Software Engineer

OR · Remote

$122K - $161K/yr

About the Role As a Senior Full Stack Engineer, you will primarily design and build backend ... Practical experience with GenAI/LLM integration in backend systems * Competence in frontend web ...

OR · On-site

Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI ... engineering level Our salary range is $177,375 - $209,625 USD

OR · On-site

$166K - $192K/yr

Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)

Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety * Collaborate with other data scientists, machine learning engineers, data engineers, and business ...

OR · On-site

$114K - $156K/yr

As a Senior Staff Engineer, Vulnerability Management, you'll play a meaningful role in ... Working with cutting-edge GenAI tools and technology to analyze findings, improve prioritization ...

Showing results 41-60

Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Oregon? For Genai Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Oregon look for? The top searched job categories for Genai Engineer jobs in Oregon are:
What cities in Oregon are hiring for Genai Engineer jobs? Cities in Oregon with the most Genai Engineer job openings:
Infographic showing various Genai Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

GenAI Python Systems Engineer - Experienced Associate

Pwc

Portland, OR • On-site

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will contribute to innovative projects that leverage advanced technology. As an Associate you will focus on learning and supporting client engagements while developing your technical skills and building meaningful relationships. This role offers a unique chance to work with advanced AI techniques and cloud platforms, enhancing your knowledge in a fast-paced environment.
Responsibilities
- Build and maintain sturdy relationships with clients and team members
- Contribute to the development of solutions in a dynamic environment
- Work with team members to achieve project objectives
- Analyze data to derive insights and inform decision-making
- Uphold professional standards and ethical practices in every task
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
- At least 1 year of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
- Skilled in programming languages like Python, Java, or Scala
- Demonstrating competence in SQL and relational databases
- Managing containerized deployments with Docker
- Maintaining software quality through developer-led testing
- Understanding AI techniques enhancing LLMs
- Designing data architecture strategies for business needs
- Working with stakeholders to translate data requirements
- Familiarity with machine learning and data science workflows
- Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
- Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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