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Assistant Azure Ai Engineer Jobs (NOW HIRING)

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 ...

GEI Consultants

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 ...

GEI Consultants

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 ...

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 ...

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 ...

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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 Aug 21, 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?

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

Assistant Azure Ai Engineer jobs near you

Microsoft Copilot Studio & Azure AI Foundry Engineer

Neshent Technologies

Mount Holly, NC • On-site

$51 - $63.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary

We are seeking an experienced Microsoft Copilot Studio & Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade AI agents and intelligent automation solutions. The ideal candidate will have hands-on expertise with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, and the Microsoft Power Platform to build secure, scalable, and Responsible AI solutions that integrate seamlessly with enterprise applications.

Required Skills & Qualifications
  • 5+ years of experience in Microsoft cloud technologies, AI, or enterprise application development.
  • Hands-on experience building AI agents using Microsoft Copilot Studio, including Topics, Actions, Generative Answers, Agent Flows, and orchestration patterns.
  • Strong experience with Azure AI Foundry, including foundation model selection, prompt engineering, grounding techniques, model evaluation, and deployment.
  • Experience integrating Azure OpenAI, Azure AI Search, and Azure AI Content Safety services.
  • Strong understanding of Retrieval-Augmented Generation (RAG), contextual memory, prompt engineering, and agent orchestration.
  • Experience developing workflow automation using Power Automate, Dataverse, and Microsoft 365 connectors.
  • Experience integrating enterprise applications using Microsoft Graph API, REST APIs, Azure Functions, and Azure API Management.
  • Knowledge of CI/CD, environment management, solution packaging, and application lifecycle management.
  • Strong understanding of AI security, governance, Responsible AI principles, DLP policies, and enterprise compliance standards.
  • Excellent analytical, communication, and stakeholder management skills.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Skills
  • Experience working in BFSI or other highly regulated industries.
  • Knowledge of Microsoft Power Platform governance and administration.
  • Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms.
  • Microsoft Azure AI, Power Platform, or Copilot Studio certifications.
Roles and Responsibilities
  • Design, develop, and deploy enterprise AI agents using Microsoft Copilot Studio, leveraging Topics, Actions, Generative Answers, and advanced agent orchestration capabilities.
  • Build intelligent multi-step agent workflows using Agent Flows, contextual memory, decision logic, and goal-driven automation.
  • Utilize Azure AI Foundry to evaluate, configure, operationalize, and optimize foundation models through prompt engineering, grounding, and evaluation pipelines.
  • Integrate Copilot Studio with Azure AI services including Azure OpenAI, Azure AI Search, and Azure AI Content Safety to deliver accurate, secure, and Responsible AI experiences.
  • Develop backend automation and business workflows using Power Automate, Dataverse, Microsoft 365 connectors, and Power Platform components.
  • Implement secure integrations with Microsoft Graph, REST APIs, Azure Functions, and Azure API Management.
  • Support enterprise deployments by managing environments, solution packaging, release management, and CI/CD pipelines.
  • Implement governance, security, auditability, data protection, DLP policies, and Responsible AI controls aligned with enterprise and regulatory requirements.
  • Design and execute testing, evaluation, performance tuning, and optimization strategies using Azure AI Foundry evaluation metrics and Copilot Studio testing capabilities.
  • Collaborate with business stakeholders, architects, security teams, and product owners throughout solution design, implementation, and deployment.
  • Produce and maintain architecture documentation, technical designs, operational runbooks, governance standards, and implementation best practices.

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