Genai Software Engineer Jobs in Seattle, WA
Genai Software Engineer jobs in Seattle, Washington are in active demand, with employers like Deloitte, Amazon Web Services, and Amazon among those hiring. See the openings below and apply to the ones that match your experience.
Find Genai Software Engineer JobsOverview
Open roles15
Top employerDeloitte
Work type100% On-site
Top credentialBachelor's
Companies hiring6
Showing 5 of 15+ Genai Software Engineer jobs
Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM
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Added 1w ago
Amazon Web Services
Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM
Seattle, Washington
Added 1w ago
Senior Software Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools
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Added 2w ago
Amazon Web Services
Senior Software Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools
Seattle, Washington
Added 2w ago
Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM
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Added 2w ago
Amazon Web Services
Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM
Seattle, Washington
Added 2w ago
Manager, Technical Program Management, Workspace GenAI Foundations
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Added 3w ago
Google
Manager, Technical Program Management, Workspace GenAI Foundations
Seattle, Washington
Added 3w ago
Manager - GenAI Full Stack Developer
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Added 3w ago
Deloitte
Manager - GenAI Full Stack Developer
Seattle, Washington
Added 3w ago
Added 1w ago
Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM
Amazon Web Services·Seattle, Washington
Job functions:
$154k - $208k/yr
3+ yrs exp.
Full Time
Job Description
DESCRIPTION
AWS is looking for a Senior Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in designing and optimizing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team supporting Amazon Bedrock, you will work closely with other Specialist GenAI Architects from various geographies to enable large-scale customer use-cases and drive the adoption of Amazon Web Services for AI platforms. You will partner with Solution Architects and other Data Scientists in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage GenAI on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.
You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.
Key job responsibilities
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Act as a technical liaison between customers and the AWS Bedrock service teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of ML related subject matter experts worldwide.
- Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience leading the architecture and development of GenAI systems and platforms.
- Experience with architecting AI systems with LLMs and custom models, experience with model customization/fine-tuning.
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch
- 3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.
PREFERRED QUALIFICATIONS
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Knowledge of AWS services, market segments, customer base and industry verticals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, AUSTIN - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
Amazon Web Services
Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM
Seattle, Washington
Added 1w ago
Job functions:
$154k - $208k/yr
3+ yrs exp.
Full Time
Job Description
DESCRIPTION
AWS is looking for a Senior Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in designing and optimizing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team supporting Amazon Bedrock, you will work closely with other Specialist GenAI Architects from various geographies to enable large-scale customer use-cases and drive the adoption of Amazon Web Services for AI platforms. You will partner with Solution Architects and other Data Scientists in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage GenAI on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.
You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.
Key job responsibilities
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Act as a technical liaison between customers and the AWS Bedrock service teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of ML related subject matter experts worldwide.
- Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience leading the architecture and development of GenAI systems and platforms.
- Experience with architecting AI systems with LLMs and custom models, experience with model customization/fine-tuning.
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch
- 3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.
PREFERRED QUALIFICATIONS
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Knowledge of AWS services, market segments, customer base and industry verticals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, AUSTIN - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
See All 15 Genai Software Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Genai Software Engineer JobsGenai Software Engineer Job Market in Seattle
Who's Hiring
- Deloitte5
- Amazon Web Services4
- Amazon3
- PwC1
- Google1
Top Industries Hiring
- Accounting & Auditing5
- Technology & Software5
- Investment & Asset Management5
- Consulting & Professional Services5
- Distribution & Wholesale4
Genai Software Engineer Jobs in Seattle: Frequently Asked Questions
How many genai software engineer jobs are there in Seattle?
There are 15+ genai software engineer openings in Seattle, Washington on Migrate Mate as of June 2026. New positions post regularly as Seattle employers hire.
Which companies hire genai software engineers in Seattle?
Companies currently hiring genai software engineers in Seattle include Deloitte, Amazon Web Services, and Amazon, per current listings on Migrate Mate as of June 2026.
Are there remote genai software engineer jobs in Seattle?
Yes. About 0% of genai software engineer openings tied to Seattle are remote or hybrid as of June 2026. The rest are on-site roles based in and around Seattle.
Which industries hire the most genai software engineers in Seattle?
Seattle genai software engineer roles concentrate in Accounting & Auditing, Technology & Software, and Investment & Asset Management, based on current listings on Migrate Mate as of June 2026.
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See All 15 Genai Software Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Genai Software Engineer Jobs