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Entry Level Azure Ai Engineer Jobs in Ohio (NOW HIRING)

HYDAC International

$79.89 - $125.54/hr

Tool- und API-Engineering zur Anbindung von Unternehmenssystemen, Datenquellen und Services ... Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Azure API Management, Azure ...

Procter & Gamble Company

AI Engineer

Cincinnati, OH · On-site

Databricks, Azure ML, AKS, ADF) and / or in GCP (e.g. Composer, BigQuery, GKE, Kubeflow) * Operates ... Job Schedule Full time Job Number R000153947 Job Segmentation Entry Level Starting Pay / Salary ...

Tata Consultancy Service Limited

Engineer

Cincinnati, OH · On-site

$100K - $110K/yr

... in Azure AI and Azure Cloud echo system. • Other can be strong Java and Spring boot engineers with aptitude to learn and develop applications using Open AI on Azure platform. • Lang Graph and ...

Proctor & Gamble

AI Engineer

Cincinnati, OH · On-site

Databricks, Azure ML, AKS, ADF) and / or in GCP (e.g. Composer, BigQuery, GKE, Kubeflow) * Operates ... Job Schedule Full time Job Number R000153947 Job Segmentation Entry Level Starting Pay / Salary ...

Lorven Technologies

Agentic AI Engineer

Cleveland, OH · On-site

Agentic AI Engineer Location: Pittsburgh, PA, Dallas, TX OR Cleveland, OH Employment Type ... Should be good in AI Agents automation development process using Azure/AWS * At least 2+ years in ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... Azure, or Google Cloud) Knowledge of RESTful APIs and microservices architecture PREFERRED ...

Flexjet LLC

AI Engineer

Cleveland, OH · On-site

$120 - $160/hr

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) * Knowledge of RESTful APIs and ...

Aareal Bank AG

$102.76 - $159.85/hr

... Azure AI Foundry, Copilot Studio, .. ) * Fundiertes Verständnis von generativer AI und Large ... Engineering und Grounding * Praktische Erfahrung in der Konzeption und Umsetzung von ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... Azure, or Google Cloud) Knowledge of RESTful APIs and microservices architecture PREFERRED ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... Azure, or Google Cloud) · Knowledge of RESTful APIs and microservices architecture PREFERRED ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... Azure, or Google Cloud) • Knowledge of RESTful APIs and microservices architecture Preferred : • Experience with NLP, computer vision, or generative AI • Familiarity with MLOps tools (e.g ...

BarmeniaGothaer

$104 - $162/hr

Zudem besitzt du sehr gute Kenntnisse in Infrastructure as Code, idealerweise mit Terraform, GitHub Actions, Azure DevOps und CI/CD-Pipelines. * Du hast fundierte Erfahrung mit Azure AI Foundry ...

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Entry Level Azure Ai Engineer information

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.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

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 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 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 the most commonly searched types of Azure Ai Engineer jobs in Ohio?

The most popular types of Azure Ai Engineer jobs in Ohio are:

What are popular job titles related to Entry Level Azure Ai Engineer jobs in Ohio?

For Entry Level Azure Ai Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in Ohio look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Azure Ai Engineer jobs?

Cities in Ohio with the most Entry Level Azure Ai Engineer job openings:

Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI & Automation Developer - Remote - Sarnova

Dublin, OH • On-site, Remote

Sarnova HC, LLC
Health Care and Social Assistance • 501 - 1,000 employees

8.2

Company rating: 8.2 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Good employer

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Recommended by parents

Learn more about Sarnova HC, LLCexternal

Full-time

Retirement

Re-posted 13 days ago

Job description

Summary:
We're building the future of intelligent systems-and we're looking for an AI and Automation Engineer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization.
You'll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future.
Essential Duties and Responsibilities:
  • Design, develop, deploy, and support AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Build conversational, autonomous, and multi-agent solutions using the Foundry SDK, Agent Framework, Responses API, Copilot Studio, and related Microsoft AI technologies.

  • Design prompt-based and hosted agents, selecting and optimizing models based on business requirements, performance, quality, and cost.

  • Integrate AI solutions with enterprise data and business systems through APIs, MCP, Power Platform, Dataverse, Dynamics 365, Azure Functions, custom services, and external platforms.

  • Implement Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, Foundry IQ, and enterprise knowledge sources.

  • Design and orchestrate multi-agent workflows, Agent-to-Agent (A2A) coordination, routing, and human-in-the-loop processes.

  • Develop scalable, reusable, secure, and enterprise-ready AI automation solutions.

  • Monitor, troubleshoot, evaluate, and continuously improve AI solution quality, reliability, safety, and performance.

  • Create technical documentation, testing assets, operational playbooks, and implementation standards.

  • Collaborate with business and technical stakeholders to identify, prioritize, and deliver AI-driven solutions that provide measurable business value.

  • Stay current with emerging AI technologies and advancements across Azure AI Foundry, Copilot Studio, Power Platform, and the Microsoft AI ecosystem.

Skills/Experience Required:
  • 2+ years of experience in AI development, automation engineering, software development, or a related field.

  • Hands-on experience designing, developing, deploying, and supporting AI agents using Azure AI Foundry and Microsoft Copilot Studio.

  • Experience with agent development and orchestration, including prompt-based and hosted agents, Foundry SDK, Agent Framework, Responses API, multi-agent workflows, and agent integrations.

  • Experience implementing Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, vector search, embeddings, and citation-based responses.

  • Experience building conversational and autonomous agents in Copilot Studio, including generative answers, knowledge grounding, and workflow automation.

  • Experience integrating AI solutions with Power Platform, Dataverse, Dynamics 365, APIs, Azure Functions, microservices, and enterprise applications.

  • Proficiency in Python (preferred), C#, and/or JavaScript/TypeScript, along with modern development tools such as VS Code, Git, Azure DevOps, and Azure CLI.

  • Knowledge of Model Context Protocol (MCP), custom function tools, external integrations, and API-driven architectures.

  • Strong understanding of leading LLMs, prompt engineering, context management, conversational memory, model evaluation, and AI solution optimization.

  • Experience with Azure services including Azure Functions, Azure AI Search, Storage, Key Vault, Microsoft Entra ID, and microservice-based solutions.

  • Working knowledge of SQL Server, data integration concepts, SharePoint, and Dynamics 365 Finance & Operations and CRM applications.

  • Familiarity with observability, monitoring, application logging, security, Responsible AI practices, governance, and CI/CD deployment processes.

  • Experience delivering automation solutions using Power Automate, UiPath, or similar workflow and automation platforms.

  • Strong analytical, communication, and stakeholder collaboration skills with the ability to translate business requirements into scalable technical solutions

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field; equivalent practical experience will also be considered.

  • Microsoft certifications related to Azure AI, AI Engineering, Power Platform, Copilot Studio, or Agent Development (e.g., Azure AI Engineer Associate or successor certifications).

  • Experience in healthcare, regulated, distribution, manufacturing, or other compliance-focused industries with an understanding of security, privacy, and governance requirements.

Experience with one or more of the following advanced Microsoft AI capabilities is highly desirable:
  • Deploying and managing hosted agents in Azure AI Foundry, including managed runtimes, identity, observability, and enterprise governance.

  • Designing multi-agent architectures, Agent-to-Agent (A2A) coordination, autonomous workflows, and human-in-the-loop processes.

  • Developing and maintaining MCP servers, MCP tool catalogs, reusable agent tools, and custom function integrations.

  • Leveraging Foundry IQ, Azure AI Search, and advanced RAG architectures for enterprise knowledge grounding and retrieval.

  • Utilizing advanced Azure AI Foundry capabilities such as built-in agent tools, managed memory, evaluation frameworks, observability, guardrails, and governance controls.

  • Publishing and managing agents across Microsoft Teams, Microsoft 365 Copilot, Dynamics 365, and custom web experiences.

  • Implementing enterprise AI governance, DLP policies, ALM strategies, environment management, and Responsible AI frameworks.

  • Experience integrating AI solutions with Microsoft Fabric, Power BI, advanced analytics platforms, or enterprise data ecosystems.

  • Knowledge of Microsoft Entra Agent ID, managed identities, enterprise authentication, and secure agent access patterns.

Physical Requirements:
  • Sit, walk, stand, use hands to manipulate, handle, feel, and control items or equipment

  • Reach with hands and arms

  • Talk and hear

  • See and be able to read, write, and interpret text

  • Employee may use computer, phone, copier and other office equipment in the course of a day

  • Occasionally lift and move objects weighing up to 10 pounds

  • Employee may be required to travel for business purposes

  • When working remotely, ability to secure confidential information

  • When working remotely, perform all duties in a professional environment free of noise or anything that would create a negative customer experience

Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Continuous is defined as 6-8 hours, frequently is defined as 3-6 hours, and occasionally is defined as up to 3 hours.
Work Schedule: Employee will be required to work a minimum of forty (40) hours of per week or as many hours as it may take to perform above job duties. Schedule may vary based on business demands and will require a combination of office hours as well as work performed after hours and/or weekends at times.
Sarnova is an Equal Opportunity Employer. We offer a competitive salary, commensurate with experience, along with a comprehensive benefits package, including 401(k) Plan. EEO/M/F/Veterans/Disabled. Our mission is to be the best partner for those who save and improve patients' lives. Excellence in delivering upon our mission is dependent upon having a diverse team that is empowered to bring their full, authentic self to work each day. We strive to create a workplace that reflects the communities we serve, and we are passionate

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