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

MTS - Platform Engineer (Tools)

Redmond, WA · On-site

$158K - $258K/yr

It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so ... The Platform Engineering team is responsible for designing and optimizing AI Agents that can reason ...

Platform Engineer

Seattle, WA · On-site

$150K - $200K/yr

... Platform Engineer at Aerovy, you'll help architect and deliver core components of our cloud ... and AI. You'll work on a modular extensible system that powers everything from EV fleets and ...

Sr. Platform Engineer -Hybrid

Seattle, WA · Hybrid

$65 - $86.25/hr

Scripting - PowerShell / Python Very strong with Terraform/ setting up Terraform AI/ML platforms. Note - This is a platform engineer role and not SRE or devops role. Role of platform engineer is ...

Senior Software Engineer, AI Platform Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Software Engineer, AI Platform

Seattle, WA · On-site

$139K - $183K/yr

Senior Software Engineer, AI Platform Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Software Engineer, AI Platform Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Platform Engineer

Bellevue, WA · On-site

$266K - $395K/yr

Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to ... As part of the Platform Engineering team, this position focuses on improving the developer ...

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How much do ai platform engineer jobs pay per hour?

As of Jun 11, 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.

Which 3 jobs will survive AI?

AI Platform Engineers are likely to continue to be in demand as they develop, deploy, and maintain AI systems, requiring skills in machine learning, cloud computing, and programming. Other roles expected to persist include data scientists and cybersecurity specialists, as these areas involve complex problem-solving and oversight that AI cannot fully replace. These jobs benefit from continuous learning and adapting to new technologies to stay relevant in an AI-driven environment.

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 does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model deployment, monitoring, and optimization in production environments.

What engineers make $500,000?

Senior AI Platform Engineers, machine learning engineers, and data science leads with extensive experience and specialized skills can earn $500,000 or more annually. These roles often require advanced knowledge of cloud platforms, programming, and large-scale data processing, and may include bonuses and stock options in high-growth companies.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI Platform Engineers or senior AI specialists earning total compensation that includes salary, bonuses, and stock options. These positions often require advanced skills in machine learning, deep learning, cloud platforms, and extensive experience in AI development. Such roles are usually found in leading tech companies or organizations investing heavily in AI innovation.
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:

Software Engineer II - AI Tooling Platform

Rock Family of Companies

Seattle, WA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

As a Software Engineer on the Platform Engineering team, you are at the core of how Redfin builds and delivers software. Our team is responsible for the entire lifecycle of a service—from the initial scaffolding and microservices framework to the automated flows that move code through our system. We build the intelligent systems and high-leverage tooling that sit above our infrastructure, ensuring our teams can ship features with minimal friction and maximum velocity.

We are taking on new areas of focus to build a unified, scalable AI platform for the entire organization. This includes building the infrastructure to leverage AI at scale: an internal AI gateway, a plugin marketplace, and core AI skills. We are looking for an engineer with a strong systems background who can operationalize these tools, ensuring they are secure, cost-effective, and deeply integrated into our existing workflows.

About the Role

  • Maintain & Modernize Developer Flows: Own and evolve the core systems that Redfin engineers use daily, including our Spring-based microservices framework, service scaffolding, and code delivery pipelines.

  • Architect the AI Platform Layer: Build and scale the "plumbing" for AI adoption, including an internal gateway to manage various providers and a plugin marketplace for custom workflows.

  • Operationalize AI Tooling: Lead the technical implementation of cost governance, security guardrails, and usage monitoring for all AI tools integrated into the Redfin ecosystem.

  • Integrate Intelligence into the Lifecycle: Identify and implement ways to bake AI-driven tools into existing developer workflows, automating repetitive tasks and accelerating the path to production.

  • Shepherd Engineering AI Adoption: Partner with engineering teams to help them onboard and use AI tools safely. You’ll serve as the technical guide to ensure their workflows are efficient, secure, and sustainable within our platform.

About You

  • Strong Systems Background: You have a deep understanding of Java or a similar strongly-typed language (Spring/Spring Boot experience is a major plus).

  • Practical AI Tooling Knowledge: You have experience integrating AI tools or APIs into your projects (professional or personal). You are familiar with the technical side of making these tools work, such as managing API calls, understanding rate limits, and the basic security considerations of using third-party AI services.

  • Systems & Tooling Background: A track record of building frameworks, CLI tools, or automated workflows that support large-scale engineering operations.

  • Operational Excellence: You have experience managing the "care and feeding" of technical platforms—focusing on reliability, cost optimization, and performance.

  • Reliability Mindset: You take pride in the long-term health of the tools you build. You enjoy solving complex problems in existing codebases just as much as building new features.

  • Marketplace & Gateway Design: Experience building internal developer portals, service catalogs, or API management layers.

  • Internal Product Mindset: Experience treating a platform like a product, focusing on documentation, usability, and helping others adopt new tools.

  • Security & Compliance: Familiarity with ensuring third-party tools and data flows adhere to corporate standards for privacy.

What you’ll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks (https://careers.rocket.com/culture/benefits) .

On-Call Expectations

This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.

About us

Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com .

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $166,900.00-$203,900.00​ . The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here (https://url.us.m.mimecastprotect.com/s/_BJHClY8MQF9kpgWSGf8CzlIAe?domain=myrocketcareer.com/) . The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.