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Entry Level Azure Ai Engineer Jobs in Seattle, WA

SRE Engineer

Redmond, WA ยท On-site

$63.75 - $84.75/hr

Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions * Monitor and ensure service uptime, availability, reliability, and latency * Track and integrate SRE metrics ...

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Senior AI Engineer

Seattle, WA ยท On-site

$118K - $163K/yr

They are seeking a highly skilled Senior AI Engineer to design, build, and deploy AI agents that ... Azure), and DevOps fundamentals. โ€ข Familiarity with automated testing approaches for LLM ...

AI Security Engineer

Seattle, WA ยท On-site

$88 - $142/hr

Key Responsibilities****[30%] Security Engineering**-Implement and maintain security controls for AI platforms within Microsoft Azure, including network security groups, firewalls, encryption, key ...

New

Senior AI Engineer

Seattle, WA ยท On-site

$170K - $231K/yr

Arm is building the next generation of AI platforms for developers to build Cloud to Car and Cloud ... AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer) * Strong background ...

Senior AI Engineer

Seattle, WA ยท Hybrid

$170K - $231K/yr

Arm is building the next generation of AI platforms for developers to build Cloud to Car and Cloud ... AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer) * Strong background ...

Senior AI Engineer

Seattle, WA ยท On-site

$170.90 - $231.20/hr

Arm is building the next generation of AI platforms for developers to build Cloud to Car and Cloud ... AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer) * Strong background ...

Software Engineer

Redmond, WA ยท On-site

$133K - $219K/yr

Experience with LLMs and Azure AI stack / services including Foundry and Copilot Studio ... Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 ...

Software Engineer

Redmond, WA ยท On-site

$133K - $219K/yr

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the ... Build agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or ...

Lead Customer Facing Applied AI Engineer

Seattle, WA ยท On-site +1

$116K - $153K/yr

We are a team of world-class AI and traditional engineers dedicated to solving the most complex ... Experience with at least one cloud platform (AWS / GCP / Azure) and standard dev tooling (Git, CI ...

Azure Cloud Engineer

Seattle, WA ยท Remote

$63.50 - $84.75/hr

... edge AI technologies. Responsibilities include * Solve customer support requests using industry ... Continuously expand your Azure and broader cloud engineering experience and skills. * Managed ...

Azure Cloud Engineer

Seattle, WA ยท On-site

$63.50 - $84.75/hr

... edge AI technologies. Responsibilities include * Solve customer support requests using industry ... Continuously expand your Azure and broader cloud engineering experience and skills. * Managed ...

AI & Machine Learning Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

Entry-Level AI Programmer -- Learn to Build Useful AI Applications AI is changing how companies build products, automate work, analyze information, and serve customers. But entry-level AI candidates ...

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Showing results 1-20

Entry Level Azure Ai Engineer information

See Seattle, WA salary details

$27.3K

$119.3K

$215.1K

How much do entry level azure ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for entry level azure ai engineer in Seattle, WA is $119,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $136,600.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.

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 are popular job titles related to Entry Level Azure Ai Engineer jobs in Seattle, WA?

For Entry Level Azure Ai Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in Seattle, WA are:

Infographic showing various Entry Level Azure Ai Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $119,337 per year, or $57.4 per hour.

$64K - $98K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Must Have Technical/Functional Skills:
Agentic AI Frameworks & Autonomous Workflow Design; LLM Orchestration; Prompt Engineering & AI Agents; Azure Cloud-Native Development & Microservices; Python; C#; Embeddings & AI Evaluation Frameworks; AI/ML Systems Development & Production Deployment. Sentiment Analysis & NLP Solutions; Azure AI Foundry; Azure OpenAI.
Roles & Responsibilities:
โ€ข Architect, design, and implement large-scale agentic AI solutions for sentiment intelligence.
โ€ข Build and optimize cloud-scale Azure services for reliability, performance, and scalability.
โ€ข Develop LLM orchestration frameworks, prompt pipelines, and agent workflows.
โ€ข Collaborate with product, research, applied science, and data engineering teams to deliver AI-powered capabilities.
โ€ข Drive AI technical strategy, engineering excellence, experimentation, and innovation.
โ€ข Ensure security, compliance, operational excellence, and responsible AI adoption.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $64,000 - $98,000 a year
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