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Azure Ai Engineer Remote Jobs in Ohio (NOW HIRING)

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

SENIOR AI ENGINEER We are hiring a Senior AI Engineer to lead the development of our cloud-based ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

Statheros

We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Aquent

Vulnerability Management Engineer

Canton, OH · On-site +1

$90 - $92/hr

Aug 3, 2026 Vulnerability Management Engineer Remote $92 / hourly as W2 About the Role Join our ... Solid understanding of vulnerability lifecycles across cloud platforms (AWS, Azure, or GCP) and ...

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Azure Ai Engineer Remote information

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

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI Engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

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

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What are Azure AI Engineers?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.
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 Azure Ai Engineer Remote jobs in Ohio? For Azure Ai Engineer Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer Remote jobs in Ohio look for? The top searched job categories for Azure Ai Engineer Remote jobs in Ohio are:
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Azure Ai Engineer Remote jobs near you
AI & Automation Developer - Remote - Sarnova

AI & Automation Developer - Remote - Sarnova

Sarnova HC, LLC

Dublin, OH • On-site, Remote

Full-time

Retirement

Posted 12 days ago

Sarnova rating

8.2

Company rating: 8.2 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

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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