Senior AI Software Engineer Jobs in Washington
Senior AI Software Engineer jobs in Washington are concentrated in Seattle, Bellevue, and Redmond, where Microsoft, Amazon, and Google maintain major engineering campuses and hire continuously at the senior level. Demand is strongest for engineers specializing in large language model development, MLOps, and applied machine learning infrastructure. Washington is among the most active markets in the country for this role, with openings at every seniority tier from tech lead to principal engineer. Find a role that fits below and apply directly.
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Showing 5 of 97+ Senior AI Software Engineer jobs
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
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 97 Senior AI Software Engineer Jobs in Washington
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Find JobsSenior AI Software Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon26
- 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 senior AI software engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Five or more years of experience building and deploying production AI or machine learning systems
- Deep proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Hands-on experience with LLM fine-tuning, RAG architectures, or generative AI product development
- Demonstrated ability to design scalable ML pipelines on cloud platforms such as AWS, Azure, or GCP
- Strong communication skills and experience collaborating with cross-functional product and research teams
Senior AI Software Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior ai software engineer in Washington?
The path in Washington typically starts with a bachelor's or master's degree in computer science, machine learning, or a closely related field. Washington does not require a state-issued license for this role. Employers here weight hands-on experience with production AI systems heavily, so a portfolio of deployed models, open-source contributions, or research publications in ML carries significant weight when applying to senior roles at Washington-based technology companies.
How much do senior AI software engineers make in Washington?
Senior AI software 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 senior ai software engineers in Washington?
Employers hiring senior ai software engineers in Washington right now include Amazon, Amazon Web Services, and Microsoft, based on current listings on Migrate Mate as of September 2026. Washington's concentration of major technology headquarters and cloud computing divisions makes it one of the densest single-state markets for this role in the country.
Which Washington cities have the most senior ai software engineer jobs?
The cities with the most senior ai software engineer openings in Washington are Seattle, Redmond, and Bellevue. Seattle and Bellevue anchor the market because of the dense concentration of technology company headquarters and cloud engineering divisions there, while Redmond draws heavily from Microsoft's main campus and its AI research and product teams.
Are there remote senior ai software engineer jobs in Washington?
Yes, and more than most fields. About 78% of senior ai software engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed environments. Model development, research engineering, and ML platform work tend to be the most remote-friendly sub-areas within the role.
How can I get hired as a senior ai software engineer in Washington with little or no experience?
The most realistic entry path is through an adjacent software engineering role, then building a transition portfolio in ML. Microsoft, Amazon, and Google all run new-graduate rotational and university hiring programs in Washington that place candidates with strong academic ML backgrounds into junior AI engineering roles. From there, internal transfers to senior AI teams are common. A strong GitHub portfolio with deployed model projects or a published Kaggle competition result can move a candidate into consideration even before formal years of experience accumulate.
Where can I find and apply to senior ai software engineer jobs in Washington?
You can find and apply to senior ai software engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your background and apply directly from the listing.
See All 97 Senior AI Software Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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