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Assistant Azure Ai Engineer Jobs (NOW HIRING)

Programmers.io

Azure AI/ML Engineer

Bellevue, WA · On-site

$62 - $77/hr

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong ...

Perficient

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 ... You will provide best-fit architectural solutions for one or more projects; you will assist in ...

Inficare Technologies

AI Engineer - Generative AI

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 ...

Namely

AI Engineer

Mountain View, CA · On-site

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

Infinite Services

$113K - $149K/yr

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 ...

Cliff Services Inc

AI Engineer/Architect

Vienna, VA · On-site

AI Engineer / Architect Location: Vienna, VA Onsite Employment Type: Contract W2 Only We are ... Azure AI Foundry * Microsoft Copilot Studio * Azure Kubernetes Service (AKS) * AI Compliance ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

They are seeking an Azure AI Applications Engineer to lead the development of intelligent applications leveraging Microsoft Azure's AI ecosystem, working across various sectors to deliver innovative ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

KPI Partners

Azure AI Platform Engineer

Fremont, CA · On-site

$75 - $85/hr

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 ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Lantern is a company that values a culture of trust and collaboration, and they are seeking an Azure AI Applications Engineer to lead the development of intelligent applications using Microsoft Azure ...

GEI Consultants

AI Engineer

Atlanta, GA · 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 ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · 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 ...

GEI Consultants

AI Engineer

Cary, NC · On-site

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 ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · On-site

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 ...

GEI Consultants

AI Engineer

New York, NY · On-site

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 ...

GEI Consultants

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 ...

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Assistant Azure Ai Engineer information

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$33K

$88.8K

$134.5K

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

As of Sep 10, 2026, the average yearly pay for assistant azure ai engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.

What does an Assistant Azure AI Engineer do?

An Assistant Azure AI Engineer supports the design, development, and deployment of artificial intelligence solutions using Microsoft Azure's cloud platform. They assist more senior engineers in building, testing, and maintaining AI models and services, such as natural language processing, computer vision, and machine learning. Common tasks include preparing data, configuring Azure AI services, integrating models into applications, and monitoring their performance. This role often involves collaboration with data scientists, developers, and IT teams to ensure AI solutions meet business needs and operate efficiently.

What are the key skills and qualifications needed to thrive as an Assistant Azure AI Engineer?

To thrive as an Assistant Azure AI Engineer, you need a solid background in computer science, proficiency in programming languages like Python, and a foundational understanding of machine learning concepts, often supported by a relevant degree or certification. Familiarity with Microsoft Azure AI tools, such as Azure Machine Learning, Cognitive Services, and DevOps pipelines, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help candidates excel in this evolving field. These skills and qualities are crucial for building scalable AI solutions and collaborating effectively within diverse technical teams.

What types of projects and collaboration can an Assistant Azure AI Engineer expect in their first year?

As an Assistant Azure AI Engineer, you’ll typically start by working on smaller components of larger AI projects, such as developing, testing, or deploying machine learning models using Azure’s tools. You’ll frequently collaborate with data scientists, software developers, and cloud architects to integrate AI solutions into existing systems. Expect to participate in team meetings, code reviews, and brainstorming sessions to solve real-world business challenges. Over time, you may take on more complex tasks and gain exposure to end-to-end project workflows, setting a solid foundation for career growth.

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

AspectAssistant Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, data analysis, programming (Python/R)
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageAI solutions, cloud servicesData analysis, predictive modeling

The Assistant Azure Ai Engineer primarily focuses on developing and deploying AI solutions within Azure cloud environments, often working with AI tools and services. In contrast, Data Scientists analyze data, build models, and generate insights, often using statistical and programming skills. While both roles involve data and AI, the Assistant Azure Ai Engineer emphasizes cloud-based AI deployment, whereas Data Scientists focus on data analysis and modeling.

What cities are hiring for Assistant Azure Ai Engineer jobs?

Cities with the most Assistant 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 Assistant Azure Ai Engineer jobs?

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Assistant Azure Ai Engineer jobs near you

AI Engineer C2C jobs with AI Azure Foundry at Newark, NJ

Newark, NJ • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

Other

Posted 23 days ago

Job description

Job Title: AI Engineer with AI Azure Foundry

Location: Newark, NJ
Duration: Contract

Key Responsibilities

An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python, orchestrating AI models, and adhering to responsible AI standards for enterprise scalability.

  • AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry.
  • Model Orchestration & Integration: Build and fine-tune large language models (LLMs) and integrate them with business applications, Copilot Studio, and data pipelines.
  • Testing & Evaluation: Implement performance and evaluation tooling such as RAGAS or TruLens to assess grounding accuracy, reduce hallucinations, and ensure model explainability.
  • Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control, observability, CI/CD).
Core Requirements & Skills

Technical Skills: Proficiency in Python, prompt engineering, and utilizing frameworks like LangChain, Semantic Kernel, or crewAI.

Cloud Experience: Deep understanding of the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Microsoft Fabric.

AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security, privacy, and fairness in model outputs.

Experience: Typically requires a bachelor’s degree in computer science or a related field, alongside 2-5+ years of software or AI/ML engineering experience.

  • Python (primary language)
  • ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data pipelines and preprocessing
  • Model deployment and MLOps (e.g., MLflow, Docker, CI/CD)
  • Machine learning, deep learning, and statistics
  • Data modeling and feature engineering
  • APIs and microservices
  • Cloud platforms (Azure ML, SageMaker, Vertex AI)
  • LLMs (GPT, Llama, etc.)
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering and vector databases
  • Ability to build AI-powered applications (chatbots, agents, copilots).
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