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Azure Ai Engineer Remote Jobs in Seattle, WA (NOW HIRING)

Senior Software Engineer - Remote

Seattle, WA ยท Remote

$139K - $183K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Manager, Data Engineer (Remote)

Home, WA ยท Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals) * Data ...

Manager, Data Engineer (Remote)

Home, WA ยท Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals) * Data ...

AI Engineer, Ecosystem

Seattle, WA ยท On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

AI Agentic Engineer

Seattle, WA ยท On-site +1

$60 - $82.25/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns * Strong ...

Senior DevSecOps Engineer

Bellevue, WA ยท Remote

$129K - $177K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... managing Azure-based infrastructure. * Demonstrated knowledge and interest in applying AI ...

AI Engineer - Machine Learning 3

Redmond, WA ยท Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

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Azure Ai Engineer Remote information

See Seattle, WA salary details

$28

$61

$87

How much do azure ai engineer remote jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure ai engineer remote in Seattle, WA is $61.03, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $70.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.
What are the most commonly searched types of Azure Ai Engineer jobs in Seattle, WA? The most popular types of Azure Ai Engineer jobs in Seattle, WA are:
What job categories do people searching Azure Ai Engineer Remote jobs in Seattle, WA look for? The top searched job categories for Azure Ai Engineer Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Azure Ai Engineer Remote jobs? Cities near Seattle, WA with the most Azure Ai Engineer Remote job openings:

Full-time

Re-posted 8 days ago


Job description

Job description
  • 6-8 years of hands-on experience with Generative AI AI ML and Data Science technologies
  • Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI
  • Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components
  • Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc
  • Experience in working with structured as well as unstructured data for building RAG based solutions
  • Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc
  • Experience with agent frameworks such as Google ADK Langgraph CrewAI etc
  • Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered
  • Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc
  • Experience with AIML deep learning TensorFlow Python NLP
  • Excellent understanding of Generative AI related concepts methodologies and techniques

Experience Qualifications
  • Bachelor's degree in computer science or related field
  • 5 years AIML experience including 2 years in GenAI projects
  • Proficiency with Azure AI services Python
  • Experience with agentbased frameworks LangChainLangGraph is highly desirable
  • Solid understanding of API integration test automation and software engineering principles
  • Good teamwork and communication skills

Skills
Mandatory Skills : MLOPS, GenAI - LLMOps, Machine Learning - AIOPS