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Internship Azure Ai Jobs (NOW HIRING)

Hexion, Inc.

AI Applications Developer

OH · On-site +1

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.

RSM

Senior Associate, AI & Data Strategy

Chicago, IL · On-site

Azure AI Fundamentals (AI-901), Azure Data Fundamentals (DP-900), AWS Certified AI Practitioner ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

Axos Bank

Jr. AI Engineer

San Diego, CA · On-site

$30/hr

... or internships. * Strong troubleshooting and communication skills. Preferred Qualifications: * 1+ year of hands-on experience building AI/ML or data-powered applications. * Exposure to Azure AI ...

Angarai

Applications Programmer

College Park, MD · On-site

Minimum of three (3) years of professional experience in software development (internships may ... Experience integrating AI APIs (e.g., OpenAI, AWS AI services, Azure AI). * Experience with ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Experience with cloud platforms (AWS, Microsoft Azure, Google Cloud) for AI/ML development or ...

MUFG

Global Red Team AI Engineer, Analyst

Jersey City, NJ · On-site

$80K - $100K/yr

Demonstrated experience through internships, coops, academic projects, or personal work. * Strong ... Familiarity with enterprise cloud AI platforms (e.g., Azure AI Foundry, AWS Bedrock, or GCP Vertex ...

Provn

Agentic Software Engineer I

Scottsdale, AZ · Remote

... services (internship experience counts) * Proficiency in one or more of TypeScript/JavaScript ... Exposure to cloud platforms (AWS, Azure, or GCP) * Familiarity with AI coding agents through ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services . This internship is ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services . This internship is ...

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How much do internship azure ai jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for internship azure ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

To thrive as an Azure AI Intern, you need a solid understanding of programming languages (such as Python or C#), basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree program. Experience with Microsoft Azure cloud services, AI tools like Azure Machine Learning Studio, and certifications such as Microsoft Certified: Azure AI Fundamentals are typically beneficial. Strong problem-solving abilities, effective communication, and a willingness to learn help set candidates apart in this collaborative, fast-evolving field. These skills and qualities are crucial for efficiently contributing to projects, adapting to new technologies, and succeeding in a dynamic AI environment.

What is the difference between Internship Azure Ai vs Data Analyst?

AspectInternship Azure AiData Analyst
Required CredentialsBasic knowledge of Azure, programming, and data conceptsDegree in Data Science, Statistics, or related field; proficiency in SQL and Excel
Work EnvironmentTech companies, cloud service providers, AI-focused teamsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageUsed in cloud computing, AI development, and machine learning projectsUsed for data interpretation, reporting, and decision-making

Internship Azure Ai roles focus on gaining hands-on experience with Azure cloud services and AI tools, often suitable for those starting in cloud and AI fields. Data Analyst roles emphasize data interpretation and reporting skills across various industries. Both roles require analytical skills but differ in technical focus and industry application.

What types of projects can I expect to work on during an Azure AI internship?

As an Azure AI intern, you will typically engage in hands-on projects that involve building, testing, and deploying AI models using Microsoft Azure's cloud-based services. You might collaborate with software engineers and data scientists to develop solutions for real-world problems such as natural language processing, computer vision, or predictive analytics. Interns often have the opportunity to contribute to both ongoing team projects and independent initiatives, allowing you to gain practical experience with Azure Machine Learning, Cognitive Services, and DevOps tools. These experiences are designed to help you build technical skills, understand industry workflows, and prepare for full-time roles in AI and cloud computing.

What is an Internship in Azure AI?

An Internship in Azure AI is a temporary position, often for students or recent graduates, that provides hands-on experience working with Microsoft Azure's artificial intelligence tools and services. Interns typically assist in developing, testing, and deploying AI solutions such as machine learning models, natural language processing, and computer vision applications using Azure's cloud platform. This role helps interns gain practical skills in cloud computing, data science, and AI, while working on real-world projects under the guidance of experienced professionals.
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Internship Azure Ai jobs near you
AI Applications Developer

AI Applications Developer

Hexion, Inc.

OH • On-site, Remote

Full-time

Posted 11 days ago

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Position Overview
Lead Hexion's enterprise Agentic AI and automation strategy-architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization.
Job Responsibilities
  • Build AI-powered applications that deliver agentic and generative AI capabilities to business users across commercial, supply chain, manufacturing, and R&D functions.
  • Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts - using parsing (Azure Document Intelligence, Unstructured), chunking, embeddings, hybrid search, and reranking.
  • Create domain-specific tools and connectors (including Model Context Protocol servers) that expose enterprise systems - ERP, planning, analytics, content management, and custom APIs - as safe, well-documented actions for AI agents to call.
  • Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or React - including chat interfaces, approval workflows, and result-review screens.
  • Implement data validation and guardrails at every tool boundary: schema checks, business-rule validation, content safety, PII handling, and explicit user confirmation for write operations.
  • Partner with product owners and subject-matter experts to gather requirements, translate workflows into agent execution plans, prototype rapidly, demo, gather feedback, and iterate.
  • Support deployment and operations of the applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues.
  • Apply prompt engineering and evaluation to measure application quality - build test cases, run LLM-as-judge evals, and track regressions over time.
  • Document use cases, tools, and playbooks so applications remain maintainable and extensible by the team.
  • Collaborate across globally distributed teams through code reviews, pair programming, and shared technical standards.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field - or equivalent hands-on experience.
  • 5+ years of professional software development or data/analytics engineering experience, including recent hands-on work with LLMs or AI-powered applications (professional projects, internships, or substantive personal projects).
  • Strong proficiency in Python and comfort with TypeScript or JavaScript for front-end work.
  • Working knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
  • Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs.
  • Hands-on RAG experience - document parsing, chunking, embeddings, and hybrid retrieval - with at least one vector database.
  • Comfort integrating with enterprise APIs such as ERP, BI platforms, SharePoint or Microsoft Graph, Teams, and REST/GraphQL services.
  • Solid SQL skills and working familiarity with a modern data platform (Databricks, Snowflake, or equivalent).
  • Self-directed learner who stays current with a fast-moving field, can teach themselves new frameworks with minimal guidance, and ships working software without hand-holding.
  • Strong problem-solving, communication, and documentation skills; comfortable demoing to business stakeholders and gathering requirements directly from subject-matter experts.
  • Familiarity with Git, CI/CD, and basic DevOps workflows.

Preferred Qualifications
  • Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or Power Platform (Power Apps, Power Automate).
  • Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.
  • Familiarity with Model Context Protocol (MCP), tool/function calling, and prompt registries.
  • Experience with LLM observability and evaluation tooling - LangSmith, Langfuse, Arize, or Weights & Biases.
  • UX sensibility - ability to design clean, low-friction chat and approval interfaces that business users actually adopt.
  • Exposure to Docker, containerized deployments, and infrastructure-as-code (Terraform or Bicep).
  • Public portfolio - GitHub projects, technical blog posts, or community contributions - demonstrating curiosity and hands-on experimentation in generative or agentic AI.
  • Prior experience delivering business applications in process industries, manufacturing, supply chain, or commercial analytics.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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