2

Azure Ai Engineer Remote Jobs in Ohio (NOW HIRING)

AI Developer (HealthCare Experience)

Dayton, OH ยท On-site +1

$94K - $164K/yr

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions ... MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc * Core Skills:

$97K - $128K/yr

Experience with cloud platforms such as AWS, Azure, or GCP * Experience in consulting, forward ... AI at scale. We are actively seeking candidates for full-time, remote work within the US or UK.

Automation Engineer 3

Columbus, OH ยท On-site +1

$70K - $154K/yr

Experience with AI Builder, Copilot integrations, or Azure Open AI services is a strong plus ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Automation Engineer 3

Cleveland, OH ยท On-site +1

$70K - $154K/yr

Experience with AI Builder, Copilot integrations, or Azure Open AI services is a strong plus ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Automation Engineer 3

Cincinnati, OH ยท On-site +1

$70K - $154K/yr

Experience with AI Builder, Copilot integrations, or Azure Open AI services is a strong plus ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Automation Engineer 3

Akron, OH ยท On-site +1

$70K - $154K/yr

Experience with AI Builder, Copilot integrations, or Azure Open AI services is a strong plus ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

DevOps Engineer III

Beavercreek, OH ยท Remote

$49 - $67/hr

Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and ... Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness

Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites. Position Summary: The AI Platform Engineer will be responsible for the platform ...

Showing results 41-60

Azure Ai Engineer Remote information

What is an Azure AI engineer?

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.

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 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.

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 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 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:

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

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

AI Cybersecurity Engineer Principal

Huntington

Columbus, OH โ€ข On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.