1

Junior Azure Ai Engineer Jobs (NOW HIRING)

Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services ... Engineer prompts and optimise LLM responses for enterprise use cases * Develop AI-powered chatbots ...

Azure AI Data Architect

Saint Louis, MO · On-site

$59.50 - $77.50/hr

Our team of strategists, designers, technologists, and engineers partners with the world's most ... We are seeking an experienced Azure AI Data Architect to lead the design and implementation of ...

Microsoft Azure AI & Cloud Services * Azure OpenAI Service * Azure Machine Learning (Azure ML ... Mentor junior developers and help elevate AI literacy across the organization * AI Engineering ...

AI Engineer

Mountain View, CA · On-site

$140 - $200/hr

Implement Azure AI Document Intelligence solutions for automated document processing and data ... Mentor AI engineers and developers, providing technical guidance and code reviews. * Lead ...

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

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 ...

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 ...

AI Engineer

Creve Coeur, MO · On-site

$120 - $180/hr

Utilize state-of-the‑art cloud technologies (e.g., AWS, Azure, Google Cloud) to industrialize ... Proven experience as an AI Engineer, Machine Learning Engineer, or similar role. Experience in ...

Title: Azure AI Platform Engineer Location: Fremont, CA (Remote with Travel) Job Type: Contract - 12 Months Pay Rate: $75/hr - $85/hr Key Skills: Azure AI Foundry, Microsoft Foundry, Azure ...

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 ...

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 29, 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 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 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 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.

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.

More about Junior Azure Ai Engineer jobs

What cities are hiring for Junior Azure Ai Engineer jobs?

Cities with the most Junior Azure Ai Engineer job openings:

What are the most commonly searched types of Azure Ai Engineer jobs?

The most popular types of Azure Ai Engineer jobs are:

What states have the most Junior Azure Ai Engineer jobs?

States with the most job openings for Junior Azure Ai Engineer jobs include:

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.

Full-time

Posted 17 days ago


Job description

Job Title: AI Engineer - Generative AI
Location: Canada or Mexico (Remote)
Job Type: Contract
Experience: 5-10 years software development; 2-4 years hands-on Generative AI
Shift: 1:00 PM - 9:00 PM PST
Job Overview
We are seeking an experienced AI Engineer specialising in Generative AI to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building Retrieval-Augmented Generation (RAG) solutions, document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python.
Key Responsibilities
  • Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services
  • Build RAG pipelines using embeddings and vector databases
  • Develop scalable REST APIs using FastAPI and Flask
  • Integrate Vision LLMs for image, document, and multimodal understanding
  • Build document processing pipelines using PyMuPDF for PDF extraction and parsing
  • Implement semantic search using FAISS Vector Database
  • Engineer prompts and optimise LLM responses for enterprise use cases
  • Develop AI-powered chatbots, document Q&A, summarisation, and intelligent automation solutions
  • Implement monitoring and evaluation frameworks using Opik or similar LLM observability tools
  • Ensure AI applications follow security, governance, and responsible AI best practices
Required Skills
  • Generative AI: LLMs, Prompt Engineering, RAG, Embeddings, Semantic Search, AI Agents, Function Calling, Model Evaluation
  • Cloud & AI Platforms: Azure OpenAI Service, Azure AI Services, Azure Storage
  • Programming: Python (Advanced), FastAPI, Flask, REST API Development, Async Programming
  • AI Frameworks: LangChain, LlamaIndex, PyMuPDF, FAISS, Vision LLMs, OpenAI SDK
  • Dev Tools: VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker
  • Observability: Opik, LLM Monitoring, Experiment Tracking, Performance Benchmarking
Preferred Skills
  • LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure Cognitive Search, Azure Functions
Location & Work Model
Fully remote - open to candidates based in Canada or Mexico. Shift: 1:00 PM - 9:00 PM PST (please confirm availability before applying).
Engagement Details
Contract engagement. Duration to be confirmed upon selection.