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Senior Ai Infrastructure Engineer Jobs in Ohio (NOW HIRING)

Infrastructure Engineer

New Albany, OH · On-site

$140 - $190/hr

Senior Systems Engineer New Albany, OH or Glendale, CA About Reveleer Reveleer delivers a unified ... With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports ...

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

Senior Systems Engineer New Albany, OH or Glendale, CA About Reveleer Reveleer delivers a unified ... With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports ...

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

Senior Systems Engineer New Albany, OH or Glendale, CA About Reveleer Reveleer delivers a unified ... With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports ...

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100K - $138K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior AI Engineer - SFL Scientific

Cleveland, OH · On-site

$101K - $139K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100K - $137K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

$82.15 - $105.62/hr

Nachweisbare Erfahrung im Aufbau und Betrieb von Infrastruktur für KI/ML‑Anwendungen ... Senior) AI Engineer Als (Senior) AI Engineer bist Du der technische Treiber in unseren ...

AI Infrastructure Operations Engineer

Cleveland, OH · Hybrid

$104K - $136K/yr

The Global AI Infrastructure team enables resilient, high-performance compute environments for ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

AI Infrastructure Operations Engineer

Columbus, OH · Hybrid

$103K - $136K/yr

The Global AI Infrastructure team enables resilient, high-performance compute environments for ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

AI Infrastructure Operations Engineer

Hartford, OH · Hybrid

$96K - $126K/yr

The Global AI Infrastructure team enables resilient, high-performance compute environments for ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

Senior AI Engineer

Cleveland, OH · On-site

$101K - $139K/yr

SENIOR AI ENGINEER We are hiring a Senior AI Engineer to lead the development of our cloud-based ... Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale ...

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 ... Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale ...

Senior AI Engineer

Toronto, OH · On-site

$93K - $128K/yr

Scotiabank is a leading bank in the Americas, and they are seeking a Senior AI Engineer to design ... infrastructure • Hands‑on experience deploying AI solutions in cloud environments (Azure and ...

Senior AI Engineer

Macedonia, OH · On-site

$120 - $150/hr

We're hiring a Senior AI Engineer who enjoys owning the entire development lifecycle. From shaping ... patterns, infrastructure; * Architect and build RAG pipelines - chunking (semantic/recursive ...

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Showing results 1-20

Senior Ai Infrastructure Engineer information

What does a senior AI infrastructure engineer do?

A Senior AI Infrastructure Engineer is responsible for designing, building, and maintaining the large-scale computing systems that support artificial intelligence (AI) and machine learning (ML) workloads. They work on optimizing data pipelines, managing cloud or on-premise infrastructure, ensuring scalability, and enabling efficient training and deployment of AI models. These professionals collaborate closely with data scientists, software engineers, and IT teams to create robust, high-performance environments that support the rapid development and deployment of AI solutions.

What are the key skills and qualifications needed to thrive as a senior AI infrastructure engineer?

To thrive as a Senior AI Infrastructure Engineer, you need deep expertise in computer science, cloud computing, distributed systems, and AI/ML frameworks, often supported by a relevant degree and significant experience. Proficiency with tools such as Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms like AWS or Azure—as well as experience with CI/CD pipelines—is typically required. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills for this role. These competencies are crucial for designing scalable, reliable AI infrastructure that supports complex machine learning workflows and organizational goals.

What are some typical challenges faced by senior AI infrastructure engineers when scaling AI systems for production?

Senior AI Infrastructure Engineers often encounter challenges related to managing large-scale data pipelines, ensuring low-latency model serving, and maintaining system reliability as user demand grows. Balancing resource allocation for compute-intensive workloads, optimizing infrastructure costs, and implementing robust monitoring are common hurdles. Collaboration with data scientists, DevOps, and product teams is crucial to streamline deployment cycles and rapidly address issues as they arise. Mastery of distributed systems and cloud platforms often distinguishes top performers in this role.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Ohio?

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

What are popular job titles related to Senior Ai Infrastructure Engineer jobs in Ohio?

For Senior Ai Infrastructure Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Ai Infrastructure Engineer jobs in Ohio look for?

The top searched job categories for Senior Ai Infrastructure Engineer jobs in Ohio are:

What cities in Ohio are hiring for Senior Ai Infrastructure Engineer jobs?

Cities in Ohio with the most Senior Ai Infrastructure Engineer job openings:

Infographic showing various Senior Ai Infrastructure Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

Infrastructure Engineer

Reveleer

New Albany, OH • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, PTO

Posted 26 days ago


Job description

Senior Systems Engineer

New Albany, OH or Glendale, CA

About Reveleer

Reveleer delivers a unified platform spanningrisk adjustment,quality improvement,clinical intelligence, andmember managementfor health plans and provider organizations navigating the complexity of value-based care. Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and intelligent workflow automation into one governed system designed to support traceable documentation across diagnoses, quality measures, and submissions. With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports organizations working to advance care quality, strengthen documentation integrity, and sustain the operational readiness needed to navigate audits with confidence.

Role overview

Reveleer is hiring an Infrastructure Engineer to lead the next generation of IT infrastructure — one that runs on automation, integrates AI-powered tooling, and connects systems through modern APIs and Model Context Protocol (MCP). The right candidate goes beyond keeping the lights on. They identify repetitive operational processes, design intelligent automation to eliminate them, and actively evaluate how emerging AI capabilities can be embedded into IT workflows.

This role sits at the intersection of traditional infrastructure ownership and AI-enabled operations. You will own the reliability and security of our hybrid cloud environment while driving measurable reductions in manual IT workload through automation and intelligent system integration.

Key responsibilitiesCloud infrastructure and system administration
  • Administer macOS, Windows 10/11, and Windows Server environments with a focus on reducing manual administration through intelligent tooling.
  • Manage Azure AD / Entra ID, Conditional Access policies, and Azure AD Domain Services, including Group Policy, authentication, and access control.
  • Administer Microsoft 365 (Exchange Online, SharePoint, OneDrive, Teams) and endpoint management platforms (Intune).
  • Support Azure cloud infrastructure, hybrid connectivity, and platform-as-a-service workloads.
Networking and security
  • Support and troubleshoot hybrid networking infrastructure, including VPNs, firewalls, DNS, DHCP, and VLANs.
  • Collaborate with the security team to maintain HIPAA, HITRUST, and NIST compliance across all managed systems.
  • Implement and monitor EDR/XDR solutions and integrate security telemetry into automated alerting and response workflows.
Monitoring and reliability
  • Build and maintain automated monitoring pipelines that surface anomalies before they elevate, reducing mean time to detection.
  • Develop self-healing runbooks and AI-assisted incident response workflows to reduce escalation volume and on-call burden.
  • Document all automation, integrations, and infrastructure changes in a centralized, version-controlled knowledge base.
AI integration and intelligent automation
  • Design and deploy AI-powered automation workflows that replace repetitive IT processes — including ticket triage, access provisioning, patch scheduling, and system health alerting.
  • Implement and manage MCP-based integrations that allow AI agents and internal tools to interact with IT infrastructure components, identity systems, and cloud services.
  • Evaluate, pilot, and operationalize large language model (LLM)-driven tools for IT operations — including AI-assisted scripting, anomaly detection, and runbook generation.
  • Partner with engineering and product teams to ensure AI infrastructure integrations meet security, compliance, and audit requirements.
API and systems integration
  • Build and maintain REST and GraphQL API integrations that connect Microsoft 365, Azure, endpoint management tools, and third-party IT platforms.
  • Design integration architectures using MCP servers to expose IT system capabilities to AI agents and internal automation pipelines.
  • Develop and maintain automation libraries in Python and PowerShell, moving beyond one-off scripts toward reusable, version-controlled infrastructure-as-code.
  • Manage identity and access workflows through API-driven automation across Azure AD / Entra ID, and Intune.
Collaboration and IT support
  • Provide Tier 3 support for escalated infrastructure issues, applying automation tooling to accelerate resolution.
  • Work directly with DevOps, security, and software engineering teams to align IT infrastructure investments with product and platform roadmaps.
  • Participate in disaster recovery planning and business continuity design, with an emphasis on automating failover and recovery procedures.
Qualifications and experienceRequired:
  • Five or more years of experience in systems engineering or systems administration demonstrated ownership of complex hybrid cloud environments.
  • Hands-on experience implementing AI tools or LLM-powered workflows in an IT operations context — including prompt engineering, API integration, or agent orchestration.
  • Working knowledge of Model Context Protocol (MCP): how MCP servers are structured, how AI agents consume tool definitions, and how to expose IT system capabilities through MCP endpoints.
  • Strong API fluency: experience building and maintaining REST API integrations using Python, PowerShell, or equivalent, with version control and documentation practices.
  • Proficiency in Microsoft 365, Azure AD / Entra ID, and Azure cloud services.
  • Experience with endpoint management platforms (Intune).
  • Networking fundamentals: TCP/IP, DNS, DHCP, VPN, VLANs, and firewall management.
  • Demonstrated experience in a healthcare IT or regulated environment (HIPAA, HITRUST, NIST).
Preferred:
  • Experience building AI agent workflows using frameworks such as LangChain, AutoGen, or custom MCP server implementations.
  • Familiarity with infrastructure-as-code and GitOps practices (Terraform, Bicep, or equivalent).
  • Background in DevOps or platform engineering, with exposure to CI/CD pipelines and containerized workloads.
  • Microsoft Certified: Azure Administrator Associate, MCSE, or equivalent certification.
WHAT YOU’LL RECEIVE:
  • Competitive salary
  • Medical, Dental and Vision benefits
  • 401kmatch
  • Generous PTO plan

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.

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