AI Software Developer Jobs in Washington
AI Software Developer jobs in Washington are among the most active in the country, concentrated in enterprise software, cloud infrastructure, autonomous systems, and defense technology, with openings at every level from entry-level engineer through staff and principal. Seattle leads hiring volume, followed by Bellevue and Redmond, where companies like Microsoft, Amazon, and Boeing have deep, sustained AI development operations. The most in-demand specialties include large language model integration, MLOps, and AI-driven product development. Find a role that fits below and apply directly.
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What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.
Your Impact
We are seeking entrepreneurial Agentic Software Engineers to join a newly formed AI Agentic Systems team. This team is tasked with solving firmwide, large-scale application and infrastructure challenges by building and deploying swarms of agents. You will build systems that understand, plan, transform, and validate application modernization workflows across one of the largest and most complex technology estates in the industry.
As a founding member of this team, you will help incubate a new paradigm of software engineering—moving beyond static automation to dynamic, goal-oriented agentic systems that operate across all the firm’s business units.
Key Responsibilities:
- Agentic Orchestration: Design and deploy multi-agent systems (swarms) capable of autonomous planning, reasoning, and execution across distributed cloud environments.
- Learning and Feedback: Build human-in-the-loop systems, evaluation frameworks, and observability mechanisms that enable continuous agent improvement.
- Tool Integration: Design and build integrations with APIs, developer tooling, CI/CD pipelines, data platforms, or operational systems.
- Cross-Functional Collaboration: Partner with diverse business units to identify high-impact use cases for agents, translating ambiguous business needs into technical agentic workflows.
Basic Qualifications:
- Software Engineering Excellence: Strong proficiency in Python, Go, Java, Javascript or similar languages with a deep understanding of distributed systems and cloud-native architecture (AWS, Azure, or internal private clouds).
- Agentic Experience: Direct experience deploying and operating LLM-based agents in production environments. Familiarity with frameworks such as LangGraph, AutoGPT, or custom-built orchestration layers.
- AI Evals: Experience designing benchmarks, evaluations, and quality metrics for AI systems.
- Problem-Solving Domains: Proven track record of applying agentic patterns to at least two of the following:
- Data Analysis: Autonomous synthesis of large-scale datasets.
- Observability: Self-healing infrastructure and automated root-cause analysis.
- Optimization: Dynamic resource allocation and cost management.
- Planning: Multi-step task decomposition and execution in non-deterministic environments.
- Entrepreneurial Mindset: Ability to thrive in a 0-to-1 environment, comfortable with ambiguity, and driven to build systems that have never existed before.
Preferred Qualifications:
- Demonstrated interest in emerging agentic technologies such as Multi-Agent Reinforcement Learning (MARL), and swarm intelligence, with a willingness to experiment, learn, and apply new approaches where they create practical business value.
- Familiarity with Model Context Protocol (MCP), A2A and other emerging standards for agent-to-tool communication.
- Strong communication skills to bridge the gap between technical agentic logic and human-centric business processes.
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html
See All 96 AI Software Developer Jobs in Washington
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Find AI Software Developer JobsAI Software Developer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Software Developer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon25

- Amazon Web Services13

- Microsoft12

- 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 AI software developer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Demonstrated ability to work with large datasets and cloud platforms such as Azure or AWS
- Strong collaboration skills for cross-functional teams including product, data science, and engineering
- Familiarity with MLOps practices, including model monitoring, versioning, and CI/CD pipelines
AI Software Developer Jobs in Washington: Frequently Asked Questions
How do you become a ai software developer in Washington?
There is no state-issued license required to work as an ai software developer in Washington. Most roles require a bachelor's degree in computer science, software engineering, or a related field, and Washington employers strongly favor candidates with hands-on machine learning or AI project experience. Building a portfolio through open-source contributions, capstone projects, or internships with Washington-based tech firms accelerates hiring. Cloud certifications from Azure or AWS are widely recognized and add concrete credibility.
How much do AI software developers make in Washington?
AI software developers 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 ai software developers in Washington?
Employers hiring ai software developers in Washington right now include Amazon, Amazon Web Services, and Microsoft, based on current listings on Migrate Mate as of September 2026. Washington's dense concentration of technology headquarters and defense contractors means AI development roles appear across both commercial product companies and large government-contracted engineering firms.
Which Washington cities have the most ai software developer jobs?
Seattle, Redmond, and Bellevue have the most ai software developer openings in Washington. Seattle drives the highest volume as the headquarters city for major technology platforms and cloud services, while Bellevue and Redmond anchor a secondary corridor of enterprise software, gaming, and autonomous vehicle research that draws consistent hiring across seniority levels.
Are there remote ai software developer jobs in Washington?
Yes, and more than most fields. About 78% of ai software developer openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed teams. Model development, research, and LLM integration work are the sub-areas most likely to appear as fully remote, while roles requiring access to proprietary hardware or secure facilities tend to stay on-site.
How can I get hired as a ai software developer in Washington with little or no experience?
The most realistic entry path is through a new-graduate software engineering role with an AI focus, then transitioning once you have production experience. Microsoft's Leap program and Amazon's university recruiting pipelines both bring in candidates without professional AI experience but with strong academic or project portfolios. Contributing to open-source ML projects, completing a machine learning specialization, and applying to ML engineer associate or data scientist roles at Washington-based mid-size software companies are the most direct lateral moves into the field.
Where can I find and apply to ai software developer jobs in Washington?
You can find and apply to ai software developer jobs in Washington on Migrate Mate, which lists current Washington openings. Find the roles that fit your experience and apply directly to the ones that match.
See All 96 AI Software Developer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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