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Entry Level Azure Ai Engineer Jobs (NOW HIRING)

ScrumLink, Inc.

AI Engineer

Jersey City, NJ · On-site

Build and maintain CI/CD pipelines using Azure DevOps , enabling automated deployment, testing, and version control of data and AI assets Required Qualifications * Strong experience with Python and ...

New

Programmers.io

Azure Solution Architect

Montvale, NJ · On-site

$66.50 - $86.50/hr

Azure AI Services: - Solid understanding of all Azure AI Services and Handson Experience. The candidate with AI-102 certification is preferred along with Azure Solutions Architect Certification ...

Lantern

Data Scientist

Dallas, TX

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

Jobgether

You will work at the intersection of consulting and hands-on engineering, designing solutions using Copilot Studio, Power Platform, Azure AI, and Microsoft 365 services. The role involves translating ...

RiseIT Solutions

AI Engineer

Cincinnati, OH · On-site

Company: iTech US, Inc. Job Title: AI Engineer Location : Cincinnati, OH (Onsite) Job ... Hands-on expertise in LangChain, LangGraph, OpenAI/Azure OpenAI . * Experience with RAG, Vector ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

We partner with product, engineering, finance, marketing and operations teams to turn ... Azure AI Search, or similar technologies. Agent and Workflow Orchestration: Experience with AI ...

Nimble Gravity

AI Engineer

AI Engineer - Generative AI & Agentic Systems We're looking for an exceptional AI Engineer to join ... Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data ...

QTech US Inc

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA ... Integrate OpenAI, Azure OpenAI, AWS Bedrock, Claude, Gemini, or other foundation models. Design ...

New

nLeague

AI Architect

Boise, ID · Remote

$64.50 - $85/hr

We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business ...

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

Goodwin

Sr. AI Developer

Philadelphia, PA · On-site

$55 - $72.75/hr

We are seeking an AI Engineer with a passion for emerging AI technologies from Microsoft. This ... Utilize Azure Services: Develop cloud-based AI applications using Azure services and frameworks ...

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Entry Level Azure Ai Engineer information

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$24K

$104.9K

$189K

How much do entry level azure ai engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level azure ai engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are some common challenges faced by Entry Level Azure AI Engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What are the key skills and qualifications needed to thrive as an Entry Level Azure AI Engineer, and why are they important?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What does an Entry Level Azure AI Engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.
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Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Gen AI Developer

Tata Consultancy Service Limited

Minneapolis, MN • On-site

$110K - $120K/yr

Full-time

Re-posted 20 days ago

Job description

Gen AI Developer
Key Responsibilities
• Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols
• Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector databases
• Build and orchestrate multi-agent workflows and intelligent automation systems
• Develop backend services using Java Spring Boot for integration, APIs, and enterprise workflows
• Create responsive front-end applications using React JS
• Integrate OpenAI / LLM models for reasoning, generation, and decision-making capabilities
• Manage and optimize vector storage solutions using PGVector or ChromaDB
• Ensure scalability, performance, and security of AI-driven applications
• Collaborate with cross-functional teams to translate business use cases into AI-powered solutions
Required Skills
• Strong programming skills in Python and Java (Spring Boot)
• Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks
• Deep understanding of RAG architecture and enterprise search (Azure AI Search)
• Experience with OpenAI or similar LLM platforms
• Knowledge of vector databases (PGVector, ChromaDB)
• Front-end development experience with React JS
• Understanding of agent orchestration and distributed AI systems
Nice to Have
• Experience with multi-agent systems and orchestration frameworks
• Exposure to enterprise AI architecture and cloud platforms (Azure preferred)
• Knowledge of AI governance, evaluation, and monitoring frameworks
Salary Range- $110,000-$120,000 a year
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