AI Platform Engineer Jobs in Washington
AI Platform Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise ML systems, and developer tooling across technology, aerospace, and healthcare sectors, with openings from early-career engineers through principal-level architects. Seattle and Bellevue anchor the market, with Redmond and Kirkland close behind, where employers like Microsoft, Amazon, and Boeing maintain deep engineering teams that regularly hire ai platform engineers. The most in-demand specialties include MLOps pipeline development, large language model infrastructure, and Kubernetes-based model serving platforms. Find a role that fits below and apply directly.
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Karman Space & Defense is a leader in the rapid design, development, and production of critical, next-generation system solutions that align with the U.S. Department of War and its allies' core mission priorities, and meet the accelerating demand for access to space. Building on nearly 50 years of success, we deliver Payload & Protection Systems, Aero/Hydrodynamic Interstage Systems, and Propulsion & Launch Systems to more than 80 prime contractors supporting over 130 space and defense programs.
In this senior individual‑contributor role, you will translate Karman's enterprise artificial intelligence (AI) strategy into secure, scalable, and reusable architectures that accelerate responsible adoption across the organization. You will shape technical patterns, build reference implementations, evaluate emerging technologies, and establish guardrails that enable governed self‑service. Partnering closely with AI/Data & Automation, Business Systems, Cybersecurity, Infrastructure, and functional teams, you will provide hands‑on technical leadership that strengthens solution quality, operational consistency, and enterprise readiness.
Responsibilities
- Defines and evolves Karman's enterprise AI reference architecture.
- Establishes architectural patterns for model access, retrieval‑augmented generation (RAG), orchestration, agents, application programming interfaces (APIs), evaluation, observability, and cost management.
- Develops technical standards for Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and other approved enterprise AI capabilities.
- Evaluates external platforms and models based on security, performance, cost, and business needs.
- Designs architectures that support portability using APIs, abstraction layers, open protocols, and exit strategies.
- Builds proofs of concept, reference implementations, reusable components, and technical accelerators.
- Provides hands‑on support for complex AI use cases, including RAG solutions, agentic workflows, model‑integrated applications, and automation.
- Establishes reusable templates, patterns, guardrails, and documentation to enable governed self‑service.
- Translates enterprise AI governance requirements into technical controls for identity, access, logging, monitoring, classification, retention, and human oversight.
- Defines evaluation, observability, quality, operational readiness, incident response, and lifecycle management standards for AI solutions.
Required Qualifications
- Significant experience in enterprise architecture, cloud architecture, software engineering, or platform engineering.
- Recent experience designing and deploying production generative artificial intelligence (AI) solutions.
- Strong working knowledge of the Microsoft cloud and AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Entra ID, Purview, and Microsoft security technologies.
- Hands‑on experience integrating commercial AI models through APIs and building model‑enabled applications.
- Strong understanding of RAG architectures, agent patterns, tool use, model orchestration, vector search, and enterprise data integration.
- Familiarity with standards and technologies such as Model Context Protocol (MCP), OpenTelemetry, open‑weight models, and modern inference platforms.
- Experience designing secure systems in regulated or high‑assurance environments.
- Ability and willingness to write code, build prototypes, review designs, and troubleshoot technical issues.
- Strong written and verbal communication skills with the ability to explain complex technical tradeoffs to technical and executive audiences.
Preferred Qualifications
- Experience in aerospace, defense, government, manufacturing, financial services, or other regulated industries.
- Experience with GCC High, sovereign cloud, restricted environments, or controlled‑data architectures.
- Familiarity with frameworks such as Cybersecurity Maturity Model Certification (CMMC), National Institute of Standards and Technology (NIST) Special Publication 800‑171, Controlled Unclassified Information (CUI), International Traffic in Arms Regulations (ITAR), NIST AI Risk Management Framework (RMF), and International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 42001.
- Experience integrating AI with enterprise platforms such as enterprise resource planning (ERP), product lifecycle management (PLM), manufacturing execution systems (MES), customer relationship management (CRM), productivity, analytics, and workflow systems.
- Familiarity with graphics processing unit (GPU) infrastructure, self‑hosted models, fine‑tuning, and private inference environments.
- Relevant Microsoft, cloud, architecture, or security certifications.
This position requires U.S. person status under U.S. export control laws, including U.S. citizens and nationals, lawful permanent residents, refugees, and asylees.
Benefits
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off
- Health Savings Account (HSA) with company contribution
- Flexible Spending Accounts (FSA)
- Company‑paid life and ADdummyamp;D insurance
- Short‑ and long‑term disability coverage
- Tuition reimbursement
Karman Space and Defense is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
View our Privacy Policy
Karman Space & Defense is a leader in the rapid design, development, and production of critical, next-generation system solutions that align with the U.S. Department of War and its allies' core mission priorities, and meet the accelerating demand for access to space. Building on nearly 50 years of success, we deliver Payload & Protection Systems, Aero/Hydrodynamic Interstage Systems, and Propulsion & Launch Systems to more than 80 prime contractors supporting over 130 space and defense programs.
In this senior individual‑contributor role, you will translate Karman's enterprise artificial intelligence (AI) strategy into secure, scalable, and reusable architectures that accelerate responsible adoption across the organization. You will shape technical patterns, build reference implementations, evaluate emerging technologies, and establish guardrails that enable governed self‑service. Partnering closely with AI/Data & Automation, Business Systems, Cybersecurity, Infrastructure, and functional teams, you will provide hands‑on technical leadership that strengthens solution quality, operational consistency, and enterprise readiness.
Responsibilities
- Defines and evolves Karman's enterprise AI reference architecture.
- Establishes architectural patterns for model access, retrieval‑augmented generation (RAG), orchestration, agents, application programming interfaces (APIs), evaluation, observability, and cost management.
- Develops technical standards for Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and other approved enterprise AI capabilities.
- Evaluates external platforms and models based on security, performance, cost, and business needs.
- Designs architectures that support portability using APIs, abstraction layers, open protocols, and exit strategies.
- Builds proofs of concept, reference implementations, reusable components, and technical accelerators.
- Provides hands‑on support for complex AI use cases, including RAG solutions, agentic workflows, model‑integrated applications, and automation.
- Establishes reusable templates, patterns, guardrails, and documentation to enable governed self‑service.
- Translates enterprise AI governance requirements into technical controls for identity, access, logging, monitoring, classification, retention, and human oversight.
- Defines evaluation, observability, quality, operational readiness, incident response, and lifecycle management standards for AI solutions.
Required Qualifications
- Significant experience in enterprise architecture, cloud architecture, software engineering, or platform engineering.
- Recent experience designing and deploying production generative artificial intelligence (AI) solutions.
- Strong working knowledge of the Microsoft cloud and AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Entra ID, Purview, and Microsoft security technologies.
- Hands‑on experience integrating commercial AI models through APIs and building model‑enabled applications.
- Strong understanding of RAG architectures, agent patterns, tool use, model orchestration, vector search, and enterprise data integration.
- Familiarity with standards and technologies such as Model Context Protocol (MCP), OpenTelemetry, open‑weight models, and modern inference platforms.
- Experience designing secure systems in regulated or high‑assurance environments.
- Ability and willingness to write code, build prototypes, review designs, and troubleshoot technical issues.
- Strong written and verbal communication skills with the ability to explain complex technical tradeoffs to technical and executive audiences.
Preferred Qualifications
- Experience in aerospace, defense, government, manufacturing, financial services, or other regulated industries.
- Experience with GCC High, sovereign cloud, restricted environments, or controlled‑data architectures.
- Familiarity with frameworks such as Cybersecurity Maturity Model Certification (CMMC), National Institute of Standards and Technology (NIST) Special Publication 800‑171, Controlled Unclassified Information (CUI), International Traffic in Arms Regulations (ITAR), NIST AI Risk Management Framework (RMF), and International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 42001.
- Experience integrating AI with enterprise platforms such as enterprise resource planning (ERP), product lifecycle management (PLM), manufacturing execution systems (MES), customer relationship management (CRM), productivity, analytics, and workflow systems.
- Familiarity with graphics processing unit (GPU) infrastructure, self‑hosted models, fine‑tuning, and private inference environments.
- Relevant Microsoft, cloud, architecture, or security certifications.
This position requires U.S. person status under U.S. export control laws, including U.S. citizens and nationals, lawful permanent residents, refugees, and asylees.
Benefits
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off
- Health Savings Account (HSA) with company contribution
- Flexible Spending Accounts (FSA)
- Company‑paid life and ADdummyamp;D insurance
- Short‑ and long‑term disability coverage
- Tuition reimbursement
Karman Space and Defense is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
View our Privacy Policy
See All 34 AI Platform Engineer Jobs in Washington
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Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Platform Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
What Washington Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Hands-on experience building or maintaining ML pipelines using tools such as Kubeflow, MLflow, or Apache Airflow
- Proficiency in Python and at least one cloud platform, with Azure and AWS most prevalent in Washington listings
- Experience containerizing and orchestrating workloads with Docker and Kubernetes in production environments
- Familiarity with LLM serving infrastructure, model registries, and vector database integrations
- Strong collaboration skills for working across data science, DevOps, and product teams in cross-functional settings
AI Platform Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai platform engineer in Washington?
Washington does not require a state-issued license to work as an ai platform engineer. The typical path starts with a bachelor's degree in computer science, software engineering, or data engineering, followed by hands-on experience with cloud platforms and ML tooling. Employers in Washington's technology corridor strongly favor candidates with demonstrated project work in MLOps or model deployment, and cloud certifications from AWS, Azure, or Google Cloud give candidates a concrete edge in local listings.
How much do AI platform engineers make in Washington?
AI platform engineers in Washington earn a median of about $128,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,210 for the lowest 10% to over $200,610 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Washington?
Employers hiring ai platform engineers in Washington right now include Apple, GEICO, and Amazon, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major cloud and enterprise technology headquarters means openings frequently appear at both household-name technology companies and the aerospace and defense contractors that rely on ML infrastructure for engineering and operations workloads.
Which Washington cities have the most ai platform engineer jobs?
Seattle, Redmond, and Renton have the most ai platform engineer openings in Washington. Seattle and Bellevue dominate because they host the global headquarters and major engineering campuses of the state's largest technology employers, while Redmond draws steady demand from Microsoft's sprawling product and cloud divisions, and Kirkland and Bothell contribute openings from mid-size technology and life sciences firms that have expanded along the Eastside corridor.
Are there remote ai platform engineer jobs in Washington?
Yes, and more than most fields. About 89% of ai platform engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how well-suited the role is to distributed engineering teams. The portions of the work most commonly done remotely include pipeline development, model experimentation, and infrastructure-as-code, while on-site presence is more often expected for roles tied to regulated data environments or on-premises GPU clusters.
How can I get hired as a ai platform engineer in Washington with little or no experience?
The most realistic entry path is through a software engineering or data engineering role at a Washington technology company, then moving laterally into platform work as teams adopt ML infrastructure. Amazon, Microsoft, and Boeing all run new-graduate rotational and associate engineering programs that include cloud and data infrastructure tracks. Building a public portfolio of MLOps projects on open datasets, earning an Azure or AWS cloud certification, and targeting roles titled junior ML engineer or data platform engineer at Eastside technology firms gives early-career candidates the strongest footing.
Where can I find and apply to ai platform engineer jobs in Washington?
You can find and apply to ai platform engineer jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Bellevue, Redmond, and other hiring centers in the state. Find the roles that fit your experience and apply directly to the ones that match.
See All 34 AI Platform Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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