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Ai Program Jobs in Oregon (NOW HIRING)

G-P

Principal Program Manager

OR · On-site +1

$144K - $215K/yr

Contribute to the EPMO team's standards, tools, and best practices for program management, including the adoption of AI capabilities throughout the program lifecycle. * Set the bar for program ...

Northwest AI Consulting

AI Advisor

Portland, OR · On-site

Feed what you learn in the room back into our programs and playbooks What we look for * You've ... We'll tell you exactly what AI can and can't do for your business, and what it would take. If it ...

Sapiens

Program Director - Customer Architect

OR · On-site +1

AI-led SaaS implementation velocity : Moves programs toward faster implementation cycles consistent with Sapiens' AI-led SaaS delivery model, applying configuration-over-customization discipline.

AcuityMD

Program Manager

OR · On-site +1

Program Manager AcuityMD is the AI platform for MedTech trusted by over 500 MedTech companies - including 16 of the top 20. Commercial leaders use AcuityMD to identify target markets, surface top ...

NICE

AI Transformation Strategist

OR · On-site +1

Partner with VP and Director-level leaders across CX, Operations, and Technology to define and execute AI-first transformation programs while directly building the agentic experiences that make that ...

Siemens

$18 - $50/hr

Potential for full-time offers after university graduation and completion of the program Position Overview: Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support ...

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Ai Program information

What is an AI program?

AI programs are software applications designed to simulate human intelligence processes such as learning, reasoning, problem-solving, and decision-making. They use algorithms, data, and computational power to perform tasks that typically require human intelligence, including language understanding, image recognition, and decision automation. AI programs can be found in various industries, powering technologies like virtual assistants, recommendation systems, and automated customer service. Their capabilities are continually evolving as advancements in machine learning and data processing occur.

What are some typical challenges faced by professionals working in AI program management, and how can they overcome them?

Professionals in AI program management often face challenges such as ensuring effective communication between technical and non-technical stakeholders, managing rapidly evolving project requirements, and staying updated with the latest advancements in AI technologies. To overcome these hurdles, successful AI program managers focus on fostering collaborative team environments, maintaining flexible project plans, and continuously investing in professional development. Regularly aligning goals with stakeholders and encouraging cross-functional learning are also key strategies for managing complexity and driving project success.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need a solid background in computer science, project management, and a strong understanding of artificial intelligence concepts, often supported by a relevant degree and certifications like PMP or Agile. Familiarity with technical tools such as JIRA, Python, machine learning frameworks, and cloud platforms is typically required. Outstanding communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These abilities are essential for successfully delivering AI projects that meet organizational goals and adapt to rapidly evolving technologies.

What is the difference between Ai Program vs Data Scientist?

AspectAi ProgramData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and project-basedBusiness, finance, healthcare sectors; analytical and research-focused
Employer & Industry UsageDeveloping AI models, algorithms, and applicationsAnalyzing data, building predictive models, deriving insights

While both roles require knowledge of machine learning and programming, Ai Programs focus on developing AI systems and algorithms, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within tech and data-driven industries.

What careers can I get in AI?

Careers in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, often supported by relevant certifications or advanced degrees.

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

The most popular types of Ai Program jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Ai Program jobs?

Cities in Oregon with the most Ai Program job openings:

Ai Program jobs near you
Infographic showing various Ai Program job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM will play a crucial role throughout the lifecycle of the latest AI systems at scale, from datacenter design and requirements definition, through systems integration of AI clusters into the datacenter environment, and support for these systems as they enter production. This role will drive collaboration between engineering leaders across multiple hardware and software teams, helping us work together to build AI supercomputers for NVIDIA engineers and develop reference architectures to advise customers and partners.

What you'll be doing: Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers What we need to see: BS in Applied Science or Engineering (or equivalent experience) 8+ years of overall experience Experience with high-performance computing systems and GPU clusters deployed in on-premises datacenters A passion for understanding challenging technical problems and driving the process of finding a solution Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams Ways to stand out from the crowd: Understanding of datacenter design, including familiarity with power and cooling technologies Expertise in system monitoring and instrumentation of large clusters, using technologies such as Prometheus, Grafana, Splunk, Modbus, and BACNet Experience working with the engineering or academic research community supporting high-performance computing or deep learning Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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