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Entry Level Azure Ai Engineer Jobs (NOW HIRING)

widenet

AI Engineer

Seattle, WA · On-site

$90 - $110/hr

Senior AI Engineer (Contingent Worker) Role Overview As a Sr AI Engineer (Contingent Worker), you ... Deploy, monitor, and optimize AI solutions in Azure, addressing performance, cost and reliability

SysMind Tech

Azure DevOps Engineer - AI Foundry

Manhattan, NY · On-site

$58 - $79.50/hr

We are seeking an Azure Engineer with hands-on experience in deploying and operating AI agents using Azure AI Foundry and Copilot Studio. The ideal candidate will have a strong foundation in identity ...

New

Unify Consulting

AI Engineer

Seattle, WA · On-site

... Bedrock, Azure OpenAI / Azure AI platforms, Google Vertex AI). • Implement multi-step ... • Engineer agentic solutions (Plan → Reason → Execute → Feedback) • Design agent ...

Neodym Technologies

Sr Azure AI Platform Engineer

Dallas, TX · On-site

$103.80K - $142.60K/yr

Role: Sr Azure AI Platform Engineer (2 positions) Location: Schiller Park, IL 60176; or Dallas, TX area 3 days a week onsite Duration: 6+ Months Client: KForce Description: Required qualifications · ...

New

Luck Stone

AI Engineer

Manakin Sabot, VA

$106.90K - $128.40K/yr

Microsoft Certified Azure AI Engineer Associate * TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues ...

General Assembly

Lead Instructor: Agentic AI Engineering

OR · Remote

$11.50K - $15.50K/wk

Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus. Note on Schedule: This is a 2-week, high-intensity engagement starting in ...

Luck Stone Corporation

AI Engineer

VA · On-site

$106.90K - $128.40K/yr

Microsoft Certified Azure AI Engineer Associate * TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues ...

GNY Insurance Companies

Associate AI Engineer

Edison, NJ · Remote

$69.10K - $124.40K/yr

Support production deployment using Azure-native services and CI/CD pipelines. * Document system ... in AI/ML engineering, data engineering, or software engineering required. * Hands-on experience ...

Ztek Consulting

Agentic AI Developer

Pittsburgh, PA

Python, LangChain, LangGraph, Azure AI Foundry. Roles & Responsibilities : * Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen ...

New

3Core Systems, Inc.

AI Azure Developer

Deerfield Beach, FL · On-site

$52.75 - $65.50/hr

AI Azure Developer Location: On-site, 3 days is a must in Deerfield; they have some flex on the number of days, but local is a must Manager: Projects for Al Soto, but working for Dwight Project:

3Core Systems, Inc

AI Azure Developer

Deerfield Beach, FL

$53.25 - $66/hr

AI Azure Developer Location: On-site, 3 days is a must in Deerfield, FL ; they have some flex on the number of days, but local is a must Manager: Projects for Al Soto, but working for Dwight Project:

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Entry Level Azure Ai Engineer information

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$24K

$104.9K

$189K

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

As of May 29, 2026, the average yearly pay for entry level azure ai engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Azure AI Engineer, and why are they important?

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 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 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 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.

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Entry Level Azure Ai Engineer jobs near you

AI Engineer

widenet

Seattle, WA • On-site

$90 - $110/hr

Contractor

Medical, Retirement

Posted 8 days ago

Job description

Senior AI Engineer (Contingent Worker)
Role Overview
As a Sr AI Engineer (Contingent Worker), you will serve as a hands-on technical contributor responsible for designing, building, and deploying AI solutions that support defined business and technical needs. You will apply strong engineering expertise to deliver scalable, secure, and reliable AI/ML solutions within a project-based or time-bound engagement.
You will work closely with engineers, technical program managers, and stakeholders to translate requirements into effective technical implementations. This role emphasizes execution, solution delivery, and alignment with established architecture and engineering standards.
Key Responsibilities
Your work will include:
  • Develop and implement agentic AI systems, including multi-step workflows, tool use, and autonomous task orchestration using LLM-based frameworks
  • Design, build, and deploy scalable AI/ML solutions using Python and cloud-native services in Microsoft Azure (e.g., Azure OpenAI, Azure Foundry, Azure AI Search)
  • Integrate AI capabilities into enterprise applications and workflows through APIs, microservices, and Azure-based architecture
  • Translate business and technical requirements into robust, production-ready solutions, balancing performance, scalability, and maintainability
  • Collaborate with engineers, product managers, and stakeholders to deliver AI solutions aligned to requirements
  • Contribute to solution design and architecture discussions, including tooling and implementation trade-offs
  • Use AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to improve development efficiency while maintaining strong code quality
  • Contribute to code reviews, automated testing, and CI/CD pipelines to ensure reliable and secure deployments
  • Deploy, monitor, and optimize AI solutions in Azure, addressing performance, cost and reliability
  • Troubleshoot and resolve issues across development and production environments
  • Contribute to reusable components, shared frameworks and engineering standards for AI development across the team
  • Support data preparation, prompt engineering, and evaluation processes to improve model performance and outcomes
  • Stay current with emerging AI technologies and proactively identify opportunities to apply them to enhance solutions where relevant

Required Experience & Skills
  • Bachelor's degree or equivalent practical experience
  • Strong programming skills in Python
  • Hands-on experience with modern AI/ML technologies, including LLMs and RAG-based solutions
  • Experience integrating AI services into applications using APIs and cloud platforms (preferably Azure)
  • Experience deploying and maintaining AI/ML systems in production environments
  • Familiarity with AI development tools such as GitHub Copilot, Claude Code, or similar
  • Familiarity with evaluation, observability, and prompt optimization techniques
  • Understanding of data security and privacy considerations in AI systems
  • Strong problem-solving skills and ability to work independently on defined tasks
  • Experience working in agile or iterative development environments (e.g., Scrum, Kanban)

Nice-to-Have Qualifications
  • Experience with frameworks such as LangChain or LlamaIndex
  • Experience working with graph-based data or vector databases
Pay Range: $90-110 per hour, depending upon experience.
Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

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