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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Showing 5 of 95+ Software Engineer AI jobs
Company and benefits
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
***UKG is unable to offer sponsorship for this position.***
Software Engineer III – Agentic Acceleration Group
We are looking for a Software Engineer III to join our Agentic Acceleration Group and help build and scale agentic AI capabilities on Google’s Agent Development Kit (ADK) and other enterprise agentic platforms. This role provides an opportunity to contribute to cutting-edge agentic AI systems, intelligent automation workflows, and impactful software solutions used by enterprises and users worldwide. As a Software Engineer III, you will own the development of agent-powered features and projects, contribute to technical design decisions, and help establish modern agent development practices. You will be responsible for the design, development, testing, deployment, and maintenance of complex agentic systems built on established AI platforms, working collaboratively with product, architecture, and engineering partners.
Responsibilities
- Agent Development: Design, build, test, and deploy production-grade AI agents using Google ADK and other agentic platforms such as the Anthropic Claude SDK and LangGraph. Write clean, maintainable, and efficient code for agent workflows, tool integrations, and multi-agent orchestration.
- Platform Integration: Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers. Implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
- Feature and Project Delivery: Own execution and delivery of agent-powered features and projects, working with product management and engineering partners to clarify requirements, manage priorities and timelines, and deliver high-quality results.
- Technical Design: Participate in design reviews with peers, architects, and stakeholders. Contribute to the design of complex agentic systems and applications, including multi-agent coordination patterns, task delegation workflows, and agent communication protocols, with attention to performance, scalability, reliability, and maintainability.
- Code Review and Engineering Practices: Review code developed by other engineers, provide constructive feedback, and help maintain a high bar for technical excellence, including clean coding practices, appropriate design patterns, unit testing, and observability built from the ground up.
- Service Health and Quality: Maintain the health and quality of agent-powered services by proactively identifying and addressing issues. Use service health indicators, agent performance metrics such as task success rates, latency, and cost, and telemetry to recommend improvements. Conduct root cause analysis for agent failures and help implement measures to prevent recurrence.
- Agent Operations: Support agent deployment, monitoring, and lifecycle management. Apply practices for agent versioning, cost monitoring, performance optimization, and iterative improvement. Build observability into agent workflows, including execution tracing, decision logging, and failure analysis.
- Testing and Evaluation: Build testable agents and agentic systems; define and automate tests using appropriate frameworks. Apply agent-specific testing strategies, including prompt validation, agent evaluation, multi-step workflow testing, tool invocation testing, tool validation, and adversarial scenario testing.
- DevOps Model: Take ownership across the software lifecycle—from collaborating with product management on requirements through design, development, testing, deployment, and maintenance of software in production.
- Documentation and Knowledge Sharing: Document new features, enhancements, fixes, agent behaviors, and operational procedures. Share knowledge with teammates and contribute to training materials and team practices.
- Mentorship and Collaboration: Collaborate effectively across engineering and product teams and provide technical guidance to less-experienced engineers on agent development, tool integrations, testing, observability, and agent safety practices.
- Innovation: Stay current with emerging agentic AI technologies and platforms—including Google ADK, Anthropic Claude SDK, LangGraph, AutoGen, and CrewAI—and evaluate or adopt new capabilities, integrations, and orchestration patterns where they improve productivity, quality, or customer value.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 4+ years of professional software development experience, with hands-on experience building LLM-powered applications or agentic AI systems.
- Deep expertise in one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
- Experience building or contributing to production applications using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar agentic frameworks.
- Understanding of agent orchestration patterns, tool-use architectures, prompt and context engineering, and agent design patterns such as ReAct and multi-agent collaboration.
- Experience integrating software or agents with enterprise systems through APIs, tools, and protocols such as REST APIs, MCP, and function calling.
- Experience with software architecture and design patterns, including the ability to contribute to scalable, reliable agentic systems in a DevOps model.
- Experience delivering complex software features or projects and working effectively with product, architecture, and engineering stakeholders.
- Proficiency with cloud technologies such as GCP (including Vertex AI and Google ADK), Azure (including Azure OpenAI), or AWS (including Bedrock), and version control systems such as GitHub.
- Strong problem-solving skills, attention to detail, and commitment to delivering high-quality agent-powered solutions.
- Experience building telemetry and observability for software or agentic systems, including execution tracing, decision logging, cost monitoring, or success-rate tracking.
- Strong communication and interpersonal skills, with the ability to explain technical concepts, collaborate in a team environment, and incorporate feedback into design and implementation decisions.
Preferred Qualifications:
- Experience with agent evaluation frameworks, prompt testing, tool validation, or adversarial testing.
- Familiarity with CI/CD pipelines, automated testing, and production observability tools.
- Knowledge of agile software development methodologies.
- Familiarity with developing accessible technologies.
- Dedicated to diversity and inclusion initiatives.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify.
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.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com
The pay range for this position is $102,000 to $169,107.50. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job inter
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
Company and benefits
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
***UKG is unable to offer sponsorship for this position.***
Software Engineer III – Agentic Acceleration Group
We are looking for a Software Engineer III to join our Agentic Acceleration Group and help build and scale agentic AI capabilities on Google’s Agent Development Kit (ADK) and other enterprise agentic platforms. This role provides an opportunity to contribute to cutting-edge agentic AI systems, intelligent automation workflows, and impactful software solutions used by enterprises and users worldwide. As a Software Engineer III, you will own the development of agent-powered features and projects, contribute to technical design decisions, and help establish modern agent development practices. You will be responsible for the design, development, testing, deployment, and maintenance of complex agentic systems built on established AI platforms, working collaboratively with product, architecture, and engineering partners.
Responsibilities
- Agent Development: Design, build, test, and deploy production-grade AI agents using Google ADK and other agentic platforms such as the Anthropic Claude SDK and LangGraph. Write clean, maintainable, and efficient code for agent workflows, tool integrations, and multi-agent orchestration.
- Platform Integration: Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers. Implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
- Feature and Project Delivery: Own execution and delivery of agent-powered features and projects, working with product management and engineering partners to clarify requirements, manage priorities and timelines, and deliver high-quality results.
- Technical Design: Participate in design reviews with peers, architects, and stakeholders. Contribute to the design of complex agentic systems and applications, including multi-agent coordination patterns, task delegation workflows, and agent communication protocols, with attention to performance, scalability, reliability, and maintainability.
- Code Review and Engineering Practices: Review code developed by other engineers, provide constructive feedback, and help maintain a high bar for technical excellence, including clean coding practices, appropriate design patterns, unit testing, and observability built from the ground up.
- Service Health and Quality: Maintain the health and quality of agent-powered services by proactively identifying and addressing issues. Use service health indicators, agent performance metrics such as task success rates, latency, and cost, and telemetry to recommend improvements. Conduct root cause analysis for agent failures and help implement measures to prevent recurrence.
- Agent Operations: Support agent deployment, monitoring, and lifecycle management. Apply practices for agent versioning, cost monitoring, performance optimization, and iterative improvement. Build observability into agent workflows, including execution tracing, decision logging, and failure analysis.
- Testing and Evaluation: Build testable agents and agentic systems; define and automate tests using appropriate frameworks. Apply agent-specific testing strategies, including prompt validation, agent evaluation, multi-step workflow testing, tool invocation testing, tool validation, and adversarial scenario testing.
- DevOps Model: Take ownership across the software lifecycle—from collaborating with product management on requirements through design, development, testing, deployment, and maintenance of software in production.
- Documentation and Knowledge Sharing: Document new features, enhancements, fixes, agent behaviors, and operational procedures. Share knowledge with teammates and contribute to training materials and team practices.
- Mentorship and Collaboration: Collaborate effectively across engineering and product teams and provide technical guidance to less-experienced engineers on agent development, tool integrations, testing, observability, and agent safety practices.
- Innovation: Stay current with emerging agentic AI technologies and platforms—including Google ADK, Anthropic Claude SDK, LangGraph, AutoGen, and CrewAI—and evaluate or adopt new capabilities, integrations, and orchestration patterns where they improve productivity, quality, or customer value.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 4+ years of professional software development experience, with hands-on experience building LLM-powered applications or agentic AI systems.
- Deep expertise in one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
- Experience building or contributing to production applications using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar agentic frameworks.
- Understanding of agent orchestration patterns, tool-use architectures, prompt and context engineering, and agent design patterns such as ReAct and multi-agent collaboration.
- Experience integrating software or agents with enterprise systems through APIs, tools, and protocols such as REST APIs, MCP, and function calling.
- Experience with software architecture and design patterns, including the ability to contribute to scalable, reliable agentic systems in a DevOps model.
- Experience delivering complex software features or projects and working effectively with product, architecture, and engineering stakeholders.
- Proficiency with cloud technologies such as GCP (including Vertex AI and Google ADK), Azure (including Azure OpenAI), or AWS (including Bedrock), and version control systems such as GitHub.
- Strong problem-solving skills, attention to detail, and commitment to delivering high-quality agent-powered solutions.
- Experience building telemetry and observability for software or agentic systems, including execution tracing, decision logging, cost monitoring, or success-rate tracking.
- Strong communication and interpersonal skills, with the ability to explain technical concepts, collaborate in a team environment, and incorporate feedback into design and implementation decisions.
Preferred Qualifications:
- Experience with agent evaluation frameworks, prompt testing, tool validation, or adversarial testing.
- Familiarity with CI/CD pipelines, automated testing, and production observability tools.
- Knowledge of agile software development methodologies.
- Familiarity with developing accessible technologies.
- Dedicated to diversity and inclusion initiatives.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify.
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.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com
The pay range for this position is $102,000 to $169,107.50. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job inter
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
See All 95 Software Engineer AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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
- Amazon25
- Microsoft12
- Amazon Web Services12
- Google6
- Airwallex4
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Retail
- Aerospace & Defense
- 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, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of September 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 78% of software engineer ai openings tied to Washington are remote or hybrid as of September 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 95 Software Engineer AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs