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Genai Engineer Jobs in Portland, OR (NOW HIRING)

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

You will work with a variety of flows fundamental to modern silicon engineering: modeling and ... Using AI tools for SystemVerilog design, validation, optimization, and understanding GenAI ...

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

You will work with a variety of flows fundamental to modern silicon engineering: modeling and ... Using AI tools for SystemVerilog design, validation, optimization, and understanding GenAI ...

You will work with a variety of flows fundamental to modern silicon engineering: modeling and ... Using AI tools for SystemVerilog design, validation, optimization, and understanding GenAI ...

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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 Portland, OR? For Genai Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Portland, OR look for? The top searched job categories for Genai Engineer jobs in Portland, OR are:
Infographic showing various Genai Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Sr. Mgr, GenAI/ML Specialist Solutions Architects

Socket.dev

Portland, OR โ€ข On-site

$201 - $272/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

DESCRIPTION

Application deadline: Jun 24, 2026
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Are you energized to create new markets for GenAI, Machine Learning, and Deep Learning technologies? Do you love scaling new businesses?
Amazon Web Services (AWS) is proud to be the pioneer and widely recognized leader in Cloud Computing. Our web services provide IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies in industries such as financial services, pharmaceuticals, and high technology. AWS customers are looking for ways to change their business models and solve complex business challenges with GenAI in the cloud and AWS is leading the way in providing customers with a broad portfolio of GenAI/ML services.
AWS is seeking a seasoned Solutions Architect leader to help us scale our GenAI/ML business in Auto/Mfg and Media & Entertainment segments. The AWS machine learning portfolio includes services, such as Quick, Kiro, Bedrock, AgentCore and SageMaker. While the GenAI/ML market is early in its maturity, most all customers are looking for ways to incorporate it into their business to improve customer engagement, optimize operations, manage risk, and glean more insights from their data.
The NAMER Specialist Organization is seeking an accomplished Solutions Architect leader deeply familiar with GenAI/ML services, who has overachieved throughout their career and built strong, deep relationships with F1000 and/or G2000 organizations. This leader will partner with Sales and Product teams to build a strategy focused on winning new customers and growing existing customers for the long term. The right candidate must possess top of the line leadership skills with the ability to execute on key business initiatives. This is an exciting opportunity to own the technical strategy definition and execution of AWS's strategy for GenAI/ML Services in Auto/Mfg and M&E.
Your responsibilities will include defining strategic workloads to drive the necessary technical relationships with customers and partners. It will also require technical depth to help the Sales field prioritize GenAIML for their customers. You will build a high-performing team of deeply technical Solution Architects. As the voice of the customer, you'll work closely with product and other GenAI/ML teams to help them evolve the products and address issues, concerns, and requests from customers. To be successful, you will need to analyze and determine key customer insights from business drivers, customer feedback, and operating metrics.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnโ€™t followed a traditional path, or includes alternative experiences, donโ€™t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldโ€™s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating โ€” thatโ€™s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. Thatโ€™s why youโ€™ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereโ€™s nothing we canโ€™t achieve.

BASIC QUALIFICATIONS
  • 5+ years of management of technical, enterprise customer facing resources or equivalent experience
  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Bachelor's degree
  • Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
PREFERRED QUALIFICATIONS
  • Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companyโ€™s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youโ€™re applying in isnโ€™t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

  • USA, AZ, TEMPE - 201,000.00 - 272,000.00 USD annually
  • USA, CA, San Francisco - 231,200.00 - 312,800.00 USD annually
  • USA, CA, Santa Monica - 201,000.00 - 272,000.00 USD annually
  • USA, CO, Denver - 201,000.00 - 272,000.00 USD annually
  • USA, IL, Chicago - 201,000.00 - 272,000.00 USD annually
  • USA, OR, Portland - 201,000.00 - 272,000.00 USD annually
  • USA, TX, AUSTIN - 201,000.00 - 272,000.00 USD annually
  • USA, TX, Dallas - 201,000.00 - 272,000.00 USD annually
  • USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually
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