Applied AI Engineer Jobs in Washington
Applied AI Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise software, healthcare technology, and defense systems, with openings at every level from early-career engineers to senior principal roles. Seattle and Bellevue anchor the bulk of hiring, with Redmond and Kirkland close behind, and employers like Microsoft, Amazon, and Boeing sustaining consistent demand for applied AI talent across product, research, and embedded systems teams. The most sought-after specialties include large language model deployment, MLOps, computer vision, and real-time inference at scale. Find a role that fits below and apply directly.
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Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!
This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable.As part of a passionate team of diverse specialists and engineers, you will directly impact our mission by building innovative applications and optimizing critical processes using the latest AI and Large Language Model (LLM) technologies. As a Software Developer focused on Artificial Intelligence, you join us to build the next generation of software that powers Blue Origin's New Glenn orbital launch vehicle.
You will collaborate closely with engineering teams across the New Glenn program to help us find opportunities where AI can accelerate development, enhance data analysis, and streamline complex workflows. Every day, you will apply your software development skills to design, build, and integrate AI-powered solutions. You will take a leading role in applying generative AI to solve real-world aerospace challenges, from building and manufacturing to mission operations.
For this role, your day-to-day activities will focus on designing and developing software applications that integrate with LLMs and other AI models. You will be responsible for building prototypes, implementing backend services, and creating tools that leverage AI to process and analyze engineering data. You will work closely with senior engineers to deploy these applications, manage API integrations with various AI services, and help ensure the reliability and effectiveness of the solutions you build. As a member of the team, your contributions will directly enhance the efficiency and innovation of our New Glenn development efforts.
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Responsibilities include but are not limited to:
- Orchestrating and Building Agentic Workflows
- Using LLMs, neural nets, or other ML models in applications and tools.
- Support AI Tool development of your peers. Drive AI Adoption and Integration!
Minimum Qualifications:
- B.S. degree in Software Engineering, computer science, or related field
- Familiarity with Neural Nets, Training, and basic ML concepts.
- Experience with Prompt and Context Engineering
- Familiarity with Linux and other Unix-style operating systems
- Experience with higher-level programming languages such as Python, C/C++
- Experience coding against Restful APIs
- Strong software development skills and debugging
- Deep understanding of software engineering principles and design patterns Ability to earn trust, maintain positive and professional relationships, and contribute to our culture
Preferred Qualifications:
- Experience integrating LLMs, Neural Nets, ML models
- Experience assembling Agentic Workflows
- Knowledge of Automation Frameworks
- Knowledge of DevOps Systems Knowledge of Cloud Infrastructure
Base Pay Range for:
WA applicants is $134,961.00 - $188,945.40Other site ranges may differ
Culture Statement
Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Background Check
- Required for all positions: Blue’s Standard Background Check
- Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
- Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical
Benefits
- Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
- Stock Options for all regular employees (working at least 20 hours/week)
- Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
See All 44 Applied AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Applied AI Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon18

- Amazon Web Services10

- Google3

- Meta2

- Microsoft2

Top Industries Hiring
- Science & Research
- Retail
- Technology & Software
- Distribution & Wholesale
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in applied AI engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms, particularly Azure or AWS, for model training and inference
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Ability to collaborate with cross-functional teams including data scientists, product managers, and software engineers
Applied AI Engineer Jobs in Washington: Frequently Asked Questions
How do you become a applied ai engineer in Washington?
Applied ai engineer roles in Washington do not require a state-issued license, so the path runs through education and demonstrated technical ability. Most Washington employers expect at least a bachelor's degree in computer science, data science, or electrical engineering, with a master's degree increasingly common at Seattle and Bellevue-area tech firms. Building a portfolio of deployed ML projects, contributing to open-source work, and completing cloud certifications on platforms like Azure or AWS are the strongest signals for Washington hiring teams.
How much do applied AI engineers make in Washington?
Applied AI engineers 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 applied ai engineers in Washington?
Employers hiring applied ai engineers in Washington right now include Amazon, Amazon Web Services, and Google, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major cloud providers and enterprise software headquarters means demand is sustained year-round rather than tied to seasonal hiring cycles.
Which Washington cities have the most applied ai engineer jobs?
Seattle, Bellevue, and Redmond have the most applied ai engineer openings in Washington. Seattle and Bellevue drive the largest share because they house the headquarters and major engineering campuses of Microsoft, Amazon, and a dense cluster of AI-focused startups, while Redmond and Kirkland contribute significantly through Microsoft's research and product divisions and a growing number of cloud-adjacent firms.
Are there remote applied ai engineer jobs in Washington?
Yes, and more than most fields. About 71% of applied ai engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of this work centers on code, model experimentation, and cloud infrastructure rather than on-site hardware. Fully remote postings are most common for MLOps, model evaluation, and API integration roles, while positions involving proprietary hardware or defense systems typically require an on-site presence.
How can I get hired as a applied ai engineer in Washington with little or no experience?
The most realistic entry path is through an adjacent software engineering or data analyst role at a Washington employer, then moving internally once you build ML skills on the job. Microsoft and Amazon both run new-graduate programs and university recruiting pipelines that place candidates without professional AI experience into junior applied science or software development engineer roles that feed into AI teams. A strong portfolio of end-to-end ML projects, a cloud certification, and familiarity with Python and PyTorch give early-career candidates a concrete edge in Washington interviews.
Where can I find and apply to applied ai engineer jobs in Washington?
You can find and apply to applied ai engineer jobs in Washington on Migrate Mate, which lists current openings across the state. Search the listings, find the roles that fit your experience and location, and apply directly to the ones that match.
See All 44 Applied AI Engineer Jobs in Washington
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