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Ai Platform Engineer Jobs in Renton, WA (NOW HIRING)

Senior AI Platform Engineer

Seattle, WA · On-site

$140K - $184K/yr

The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We're looking for an engineer to help develop and scale the AI ...

Senior AI Platform Engineer

Seattle, WA

$139K - $183K/yr

The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We're looking for an engineer to help develop and scale the AI ...

Senior AI Platform Engineer

Seattle, WA

$139K - $183K/yr

The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We're looking for an engineer to help develop and scale the AI ...

We are seeking a Principal AI Platform Engineer, to join our community. As AI agents become mission-critical in production business workflows, PEMCO needs a leader who owns the operational ...

Sr AI Platform Engineer

Bellevue, WA

$117K - $162K/yr

Sr AI Platform Engineer Location:Bellevue WA/ Frisco TX/ Kansas City KS/ Atlanta GA Duration: 8 Months Job Type: Temporary Assignment Work Type:Onsite About the role: * You'll join a working squad of ...

Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML, GenAI, and analysis platforms ...

AI/ML platforms. Note - This is a platform engineer role and not SRE or devops role. Role of platform engineer is different from SRE and Devops: Platform engineer will: * Set up Kubernetes clusters ...

Senior Gen AI Platform Engineer

Seattle, WA · On-site

$118K - $163K/yr

They are seeking a Senior GenAI Platform Engineer to develop first-in-class GenAI capabilities and ... AI Company : We are uniting science, technology and talent to get ahead of disease together. Our ...

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How much do ai platform engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai platform engineer in Renton, WA is $72.23, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $83.37 per hour, depending on experience, location, and employer.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What job categories do people searching Ai Platform Engineer jobs in Renton, WA look for? The top searched job categories for Ai Platform Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Ai Platform Engineer jobs? Cities near Renton, WA with the most Ai Platform Engineer job openings:
Senior AI Platform Engineer

Senior AI Platform Engineer

Adobe, Inc.

Seattle, WA • On-site

$140K - $184K/yr

Full-time

Posted 7 days ago


Job description

The Opportunity
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We're looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large-scale platforms that support modern AI products.
You'll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
What You'll Do
  • Contribute to the development of core platform components that support AI experiences in Adobe Express.
  • Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
  • Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
  • Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
  • Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
  • Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
  • Participate in debugging, testing, monitoring, and operational improvements for AI platform services

What You'll Bring
  • 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
  • Good understanding of distributed systems fundamentals, backend services, and scalable system design.
  • Experience building or supporting APIs, data pipelines, or event-driven systems.
  • Proficiency in Python, Typescript, C++, or Go.
  • Familiarity with cloud environments, service deployment, and production engineering practices.
  • Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
  • Strong problem-solving skills and the ability to work well in a collaborative team environment.
  • Clear communication skills and willingness to learn from cross-functional partners.

Preferred Qualifications
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
  • Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
  • Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
  • Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
  • Interest in agentic AI concepts such as tool use, task planning, or memory systems.

Why Adobe
At Adobe, we're building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350In Washington, the pay range for this position is $165,600 - $239,725
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
Jun 04 2026 12:00 AM
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982