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Junior Azure Ai Engineer Jobs (NOW HIRING)

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for ... AWS / Azure / Google Cloud Platform · Familiarity with PyTorch or TensorFlow · Understanding of ...

New

NY · On-site

$120 - $150/hr

About the role We are looking for a Senior Azure Data & AI Engineer to join a high‑impact project for one of our global enterprise customers. You will be a key contributor to designing, building ...

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

AI Engineer

Atlanta, GA

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

AI Engineer

Wakefield, MA

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

AI Engineer

Dallas, TX

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

Showing results 41-60

Junior Azure Ai Engineer information

See salary details

$33.5K

$71.8K

$109.5K

How much do junior azure ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior azure ai engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

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

AspectJunior Azure Ai EngineerJunior Data Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, data analysis certifications
Work EnvironmentCloud platforms, AI development teamsData analysis teams, research environments
Employer & Industry UsageTech companies, cloud service providersResearch institutions, analytics firms
Search & Comparison IntentUnderstanding roles in AI development on AzureComparing data science entry-level roles

The Junior Azure Ai Engineer focuses on developing AI solutions using Azure cloud services, while the Junior Data Scientist primarily analyzes data to extract insights. Both roles require programming skills and some certifications, but their work environments and industry applications differ. Understanding these distinctions helps job seekers identify the right career path in AI and data analytics.

What are the key skills and qualifications needed to thrive as a Junior Azure AI Engineer?

To thrive as a Junior Azure AI Engineer, you need a foundational understanding of machine learning concepts, Python programming, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Machine Learning, Cognitive Services, and certifications like Azure AI Fundamentals are highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork skills help you stand out in this role. These skills are essential for building, deploying, and maintaining AI solutions efficiently and collaboratively in a cloud-based environment.

What is a Junior Azure AI Engineer?

A Junior Azure AI Engineer is an entry-level professional who helps design, build, and deploy artificial intelligence solutions using Microsoft Azure’s cloud platform. Their responsibilities typically include assisting with data preparation, developing AI models, integrating AI services into applications, and maintaining cloud-based AI resources. They often work under the supervision of senior engineers and collaborate with data scientists, developers, and IT teams. This role is ideal for individuals with foundational knowledge of AI concepts and some experience with Azure tools and services.

What are some common challenges Junior Azure AI Engineers face when working on real-world projects?

Junior Azure AI Engineers often encounter challenges such as adapting to rapidly evolving AI tools and frameworks within the Azure ecosystem, understanding cloud security best practices, and balancing the demands of data privacy compliance. They may also face a learning curve when deploying machine learning models at scale or integrating them with other Azure services. Regular collaboration with data scientists, software developers, and DevOps teams is key to overcoming these challenges and ensuring smooth project delivery.
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Infographic showing various Junior Azure Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 2 days ago

New


Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts