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Assistant Azure Ai Engineer Jobs (NOW HIRING)

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience programming in languages such as Python, PySpark, or C# * Strong foundational ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

Cyclotron, Inc.

AI Engineer

$100K - $140K/yr

AI Engineer Location: Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada ... * Assist in developing and deploying AI-driven solutions using pro-code tools, Azure AI Foundry ...

Packsize

Sr. AI Engineer

Amsterdam, NY · On-site

$100K - $137K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

Packsize International LLC

Sr. AI Engineer

Salt Lake City, UT · On-site

$53.50 - $69/hr

Azure AI Foundry (custom agent development & advanced processing) The engagement will operate in a ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

Packsize

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

MARKS IT SOLUTIONS LLC

Azure IAM Engineer

Houston, TX

$53.25 - $71.25/hr

Azure AI & Cloud Security Engineer Location: Houston, TX (Onsite) Duration: Long Term Job Summary: We are seeking a highly skilled Azure AI & Cloud Security Engineer with strong expertise in Azure ...

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 ...

Inizio Partners

AI Engineer

New York, NY

$150K - $175K/yr

Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10-12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an ...

Kanshe Infotech

Senior AI/ML Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

GenAI | LLMs | Agentic AI | Python | Azure Cloud | Azure AI Search | MCP Protocol | Vector Embeddings | Cosmos DB | Healthcare Domain We are seeking a Senior AI/ML Engineer with strong experience in ...

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

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 ...

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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 Jun 20, 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 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 are the key skills and qualifications needed to thrive as an Assistant Azure AI Engineer, and why are they important?

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 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
AI Engineer with Databricks

AI Engineer with Databricks

RIT Solutions

Manhattan, NY

Other

Posted 20 days ago

Job description

AI Engineer with Databricks

We are seeing a highly skilled senior AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc.

Key Responsibilities:
  • Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
  • Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
  • Build and manage AI agents for automation and advanced conversational experiences.
  • Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
  • Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
  • Monitor and optimize AI model performance, ensuring reliability and accuracy.
  • Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
  • Ensure adherence to data privacy and security standards within all AI implementations.
Technical Skills and Qualifications:

· BS or MS in Computer Science, Engineering, or related fields

· Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)

· Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.

· Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.

· Strong understanding of NLPs, LLMs and RESTful API integration.

· Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI

· Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques

· Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.

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