Software Engineer AI Jobs in Washington
Software Engineer AI jobs in Washington are among the most actively recruited technology roles in the country, concentrated in cloud infrastructure, enterprise software, and autonomous systems across seniority levels from new graduate through principal engineer. Seattle anchors most of the demand, with Redmond and Bellevue close behind, where Microsoft, Amazon, and Google maintain large AI research and product engineering teams. The most consistently sought specialties are large language model fine-tuning, ML platform engineering, and applied AI for cloud-native products. Find a role that fits below and apply directly.
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Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple's services. As part of this team, you will be responsible for building and integrating technologies that enhance people's lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We're looking for a Senior Software Engineer to lead the shift from repository-based asset intake to a service-oriented platform that delivers client assets to server nodes across our data centers.
Description
This role owns the end-to-end asset integration pipeline that moves assets from client teams to server nodes across Apple data centers. You will lead the transition from a repository-based workflow to microservices and RESTful APIs, own package builds and build-team automation, provide storage endpoints, and maintain the dashboards and alerts that keep the pipeline healthy. You will partner with client teams building on Large Language Models, so you need working fluency in ML concepts. The ideal candidate is a systems thinker who can navigate fast-moving requirements while maintaining a long-term vision for resilient and scalable solutions.
Minimum Qualifications
- 7+ years of software engineering experience in building and operating production systems
- Expert-level proficiency with programming languages such as Python or Java with production web services and RESTful API design
- Experience designing and operating microservices, including services that run across multiple data centers, with the ability to reason about scale, concurrency, and failure modes
- Proven experience designing and implementing internal tools, automation, and service-level components
- Foundational understanding of machine learning and LLM concepts sufficient to work effectively with client teams
- Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth
- Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it
- Experience building monitoring dashboards and alerting for services you own
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or related field
Preferred Qualifications
- Working familiarity with containerization (Docker)
- Experience with artifact registries, package managers, or object storage
- Prior experience migrating a legacy workflow to a service-oriented architecture
- Proficiency in complementary languages (C/C++, Shell, SQL)
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
See All 146+ Software Engineer AI Jobs in Washington
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Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Software Engineer AI Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon29

- Amazon Web Services22

- Microsoft14

- Arm9

- Airwallex8

Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Retail
- Electronics & Hardware
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in software engineer AI jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience building or deploying machine learning models in production environments
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Experience with large language models, fine-tuning pipelines, or retrieval-augmented generation systems
- Strong communication skills for collaborating across product, research, and infrastructure teams
Software Engineer AI Jobs in Washington: Frequently Asked Questions
How do you become a software engineer ai in Washington?
There is no state-issued license required to work as a software engineer ai in Washington. Most candidates enter through a bachelor's or master's degree in computer science, artificial intelligence, or a related discipline from universities such as the University of Washington or Washington State University. Employers in Seattle and Redmond place strong weight on demonstrated project work, open-source contributions, and internship experience with ML systems over credentials alone.
How much do software engineer AIs make in Washington?
Software engineer AIs in Washington earn a median of about $166,540 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,810 for the lowest 10% to over $255,350 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in Washington?
Employers hiring software engineer ais in Washington right now include Amazon, Amazon Web Services, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major cloud and enterprise technology headquarters means AI-focused engineering roles turn over frequently, with both established product teams and newer AI product divisions posting regularly throughout the year.
Which Washington cities have the most software engineer ai jobs?
Seattle, Redmond, and Bellevue lead Washington for software engineer ai openings. Seattle drives the majority of listings because of its dense cluster of technology headquarters and AI research labs, while Redmond and Bellevue add substantial volume through Microsoft's campus operations and the many mid-size software companies that have located near those anchor employers.
Are there remote software engineer ai jobs in Washington?
Yes, and more than most fields. About 88% of software engineer ai openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of this work is computer-based and collaborative across distributed teams. Model training, evaluation pipeline work, and prompt engineering roles are the most likely to be offered with full or partial remote arrangements.
How can I get hired as a software engineer ai in Washington with little or no experience?
The most realistic entry path is through an internship or new-graduate program at one of Washington's large technology employers. Microsoft, Amazon, and Google all run structured new-graduate hiring cycles that recruit directly from University of Washington and Washington State University. Candidates without a degree can build a portfolio of ML projects on public datasets, contribute to open-source AI repositories, and apply to associate or junior ML engineer roles that serve as a stepping stone into dedicated AI engineering positions.
Where can I find and apply to software engineer ai jobs in Washington?
You can find and apply to software engineer ai jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Redmond, Bellevue, and beyond. Find the roles that fit your experience and specialization and apply directly from each listing.
See All 146+ Software Engineer AI Jobs in Washington
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