Cloud AI Architect Jobs in Washington
Cloud AI Architect jobs in Washington are open across Seattle, Mountlake Terrace, and Bellevue and other Washington metros, with employers like NVIDIA, Premera Blue Cross, and Anthropic hiring at every experience level. Find a role that fits below and apply directly.
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About us:
Moody’s Northwest Consulting is a result driven management consulting firm headquartered in the Seattle metropolitan area. We specialize in best fit consulting and staffing solutions based on client needs, with a focus on all aspects of digital product management. We have an active role that we are looking to assist our premier client with and are looking for an experienced consultant with the right set of values. For us, personality fit is paramount. We are looking for self-starters who are experienced but flexible in their approach and have a customer focused outlook. Our consultants go above and beyond, focus on the end goal and do what it takes to deliver the desired results. If you are someone who fits the above job description, then please look at the specific opportunity & let us know why you are a good fit for Moody’s Northwest Consulting.
Role: AI Enterprise Architect
Location: Mountlake Terrace, Seattle, WA (Hybrid), 3 days in the office and 2 days remote.
Duration: Long term contract
Key Responsibilities:
- AI Strategy & Roadmap
- Define enterprise-wide architecture standards for generative AI, including ChatGPT adoption frameworks, data integration, model management, and security.
- Lead development of generative AI reference architecture, aligning with both IT and business strategies.
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Collaborate with executive leadership to prioritize AI initiatives with the highest impact.
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Architecture & Technical Leadership
- Architect reusable components and pipelines for LLM-based applications across business domains.
- Guide the deployment of ChatGPT APIs and fine-tuned models within internal systems, ensuring low-latency, scalable integration.
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Establish and enforce best practices for prompt engineering, model selection, RAG (retrieval-augmented generation), and fine-tuning strategies.
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Governance & Risk Management
- Define AI governance policies for model lifecycle, usage controls, auditing, privacy, and compliance.
- Ensure proper data access, role-based permissions, and safeguards for confidential or regulated content.
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Collaborate with security and legal teams to mitigate AI-related risks and align with responsible AI frameworks.
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Cross-Functional Collaboration
- Partner with Data Science, DevOps, Security, Infrastructure, and Business Units to develop scalable LLM-powered solutions.
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Educate stakeholders on architectural considerations of LLMs including latency, cost trade-offs, model observability, and ethical use.
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Innovation & Evaluation
- Evaluate evolving LLM technologies, including open-source models (e.g., LLaMA, Mistral) and APIs (OpenAI, Azure OpenAI, Anthropic).
- Pilot and recommend new architectures or tools to improve generative AI adoption and effectiveness.
Qualifications
Education:
- Bachelor’s degree in computer science, Data Science, or related field (Master’s or PhD preferred).
Experience:
- 10+ years in enterprise architecture or solution architecture roles, with 3+ years in AI/ML-focused architecture.
- Proven experience deploying generative AI solutions at scale in a corporate or cloud-native environment.
- Hands-on knowledge of cloud services (Azure preferred), especially Azure OpenAI Service.
Skills:
- Strong understanding of large language models, NLP pipelines, and transformer-based architectures.
- Proficiency in Python, REST APIs, and orchestration tools like Kubernetes, Airflow, or LangChain.
- Deep knowledge of data security, compliance (HIPAA, GDPR), and enterprise IT governance.
Preferred:
- Experience implementing retrieval-augmented generation (RAG) systems with vector databases (e.g., Pinecone, Weaviate, FAISS).
- Familiarity with MLOps tools for model versioning, deployment, and monitoring (e.g., MLflow, SageMaker, Azure ML).
- Experience with prompt optimization and ChatGPT plugin development.
- Background in telecom or large-scale consumer services environments is a plus.
Moodys NWC believes in a culture of diversity, acceptance, and belonging. We are committed to being an equal opportunity employer and hiring without discrimination including based on race, color, creed, national origin, sex, marital status, age, sexual orientation, gender identity, disability, medical status, or veteran status. Moodys NWC complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, please submit a contact form here: https://moodysnwc.com/contact-us/
Pay: $80.00 - $105.00 per hour
Benefits:
- Dental insurance
- Health insurance
Work Location: In person
See All 14 Cloud AI Architect Jobs in Washington
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Find Cloud AI Architect JobsCloud AI Architect Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Cloud AI Architect Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- NVIDIA4

- Premera Blue Cross3

- Anthropic1

- Google1

- Microsoft1

Top Industries Hiring
- Technology & Software6
- Insurance2
- Accounting & Auditing1
- Consulting & Professional Services1
- Cybersecurity1
What Washington Employers Look For
The qualifications that appear most often in cloud AI architect jobs across Washington.
- Five or more years of hands-on experience designing production cloud infrastructure on AWS, Azure, or Google Cloud
- Demonstrated experience building and deploying machine learning or generative AI workloads at enterprise scale
- Proficiency with MLOps tooling such as Kubeflow, MLflow, Vertex AI Pipelines, or SageMaker Pipelines
- Strong programming skills in Python and familiarity with model serving frameworks like TensorFlow Serving, TorchServe, or Triton
- Experience with containerization and orchestration using Docker and Kubernetes in a cloud-native environment
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
Cloud AI Architect Jobs in Washington: Frequently Asked Questions
How many cloud AI architect jobs are there in Washington?
There are 14+ cloud AI architect openings in Washington on Migrate Mate as of June 2026, with the most roles in Seattle, Mountlake Terrace, and Bellevue. New positions post regularly as employers across Washington hire.
Which Washington cities have the most cloud AI architect jobs?
Seattle, Mountlake Terrace, and Bellevue have the most cloud AI architect openings in Washington right now, with additional roles spread across smaller metros statewide.
Which companies hire cloud AI architects in Washington?
Employers hiring cloud AI architects in Washington include NVIDIA, Premera Blue Cross, and Anthropic, based on current listings on Migrate Mate as of June 2026.
Are there remote cloud AI architect jobs in Washington?
Yes. About 50% of cloud AI architect openings tied to Washington are remote or hybrid as of June 2026. The rest are on-site roles based in Washington metros.
How do I apply for cloud AI architect jobs in Washington?
You can apply to cloud AI architect jobs in Washington directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Washington location, then apply to each one that fits.
See All 14 Cloud AI Architect Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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