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Ai Platform Engineer Jobs in Ohio (NOW HIRING)

We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is passionate about building, operating, and scaling the infrastructure that powers next-generation AI solutions.

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Establish logging, evaluation, and feedback mechanisms for production AI systems 3. Cloud, Platform & Scalability Engineering * Architect and deploy GenAI applications across cloud environments ...

Senior AI Platform Engineer

Cincinnati, OH · On-site

$53 - $68.25/hr

... Platform & Scalability Engineering * Develop and deploy GenAI systems across cloud platforms (Azure and AWS) * Contribute to distributed system design for scalable AI workloads * Utilize modern ...

Lead AWS Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the ...

$87K - $114K/yr

The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the ...

Lead AWS Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the ...

At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI platform to accelerate designing, developing, and deploying AI use cases, and drive innovation at scale ...

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

Sr DevOps/ Platform Engineer

Columbus, OH · On-site

$121K - $156K/yr

... Platform Engineer with expertise in Artificial Intelligence and Agentic AI to join our team ... The ideal candidate will play a crucial role in transitioning to the Agentic AI side and will be ...

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

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Ai Platform Engineer information

See Ohio salary details

$31

$60

$90

How much do ai platform engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai platform engineer in Ohio is $60.80, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $70.14 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What cities in Ohio are hiring for Ai Platform Engineer jobs? Cities in Ohio with the most Ai Platform Engineer job openings:
Infographic showing various Ai Platform Engineer job openings in Ohio as of August 2026, with employment types broken down into 59% Full Time, 35% Part Time, and 6% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $126,467 per year, or $60.8 per hour.

AI Platform Engineer

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Re-posted 11 days ago


Job description

ERP Suites develops Enterprise AI agents and orchestration solutions hosted on Oracle Cloud Infrastructure (OCI). Our products automate complex finance, supply chain, and operational workflows for enterprise customers.
We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is passionate about building, operating, and scaling the infrastructure that powers next-generation AI solutions.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. 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 foundation that supports ERP Suites' AI products and customer environments. This role partners closely with the AI Architect and Product Team to deploy, manage, secure, and optimize Oracle Cloud Infrastructure environments, automation pipelines, and AI agent deployment frameworks.
The ideal candidate is a hands-on cloud and infrastructure professional with experience in DevOps, AI platform operations, automation, security, observability, and enterprise cloud architecture.
Daily Activities:
• Monitor OCI service health, logs, dashboards, and alerts.
• Troubleshoot platform issues and customer environment concerns.
• Support development teams with infrastructure questions and deployment needs.
• Manage CI/CD pipeline performance and resolve deployment failures.
• Execute provisioning, onboarding, and configuration requests.
• Update documentation and architecture artifacts as infrastructure evolves.
• Participate in standups, planning meetings, and technical reviews.
Monthly Activities:
• Review OCI consumption reports, billing dashboards, and cost optimization opportunities.
• Conduct IAM, security, and credential audits.
• Evaluate reference architecture environments for configuration drift and required updates.
• Refine deployment methodologies, runbooks, and onboarding documentation.
• Assess Oracle OCI roadmap updates and emerging platform capabilities.
• Contribute technical documentation, architecture guidance, and internal knowledge-sharing content.
Key Responsibilities:
Cloud Infrastructure & DevOps:
• Provision, configure, and manage Oracle Cloud Infrastructure (OCI) environments, including computer, networking, load balancers, API gateways, IAM, containers, and related services.
• Manage OCI Functions, Autonomous Database Serverless (ADB-S), and containerized deployment environments.
• Build, maintain, and optimize OCI DevOps pipelines, artifact repositories, and deployment automation.
• Support OCI Goldengate planning, configuration, and data replication architectures.
• Develop automation solutions that improve reliability, scalability, and operational efficiency.
AI Agent Deployment & Operations:
• Own customer-facing AI agent deployment methodologies, runbooks, environment configurations, and deployment standards.
• Coordinate customer environment provisioning, compartment creation, IAM setup, and onboarding activities.
• Manage AI agent environments across development, testing, and production stages.
• Support development teams through infrastructure reviews, deployment guidance, and technical troubleshooting.
• Maintain and extend ERP Suites' enterprise reference architectures and deployment frameworks.
Monitoring, Observability & FinOps:
• Build and maintain Grafana dashboards and reporting solutions for operational monitoring and customer billing.
• Develop ETL processes that aggregate OCI cost and consumption data.
• Monitor platform health, performance, reliability, and resource utilization.
• Diagnose and resolve observability gaps before they impact customer environments.
• Ensure accurate reporting and billing visibility across customer environments.
Security & Governance:
• Audit OCI IAM policies, Vault usage, credential management processes, and security controls.
• Maintain TLS certificate automation using ACME, Let's Encrypt, and OCI Load Balancer integrations.
• Support secure architecture reviews and infrastructure compliance initiatives.
• Ensure proper access controls, credential rotation, and security best practices across environments.
Technical Architecture & Documentation:
• Create and maintain architecture diagrams, infrastructure maps, deployment workflows, and technical documentation.
• Document automation scripts, deployment processes, and operational procedures.
• Participate in technical planning sessions with customers and internal stakeholders.
• Identify infrastructure risks and recommend scalable solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
• 2+ years of experience in AI Platform Engineering, Infrastructure Engineering, MLOps, DevOps, or Cloud Engineering.
• Strong experience with Oracle Cloud Infrastructure (OCI), including:
• Experience deploying and supporting AI agents, microservices, or cloud-native applications.
• Experience with monitoring and observability platforms such as Grafana, LangFuse, OCI Logging, and Metrics APIs.
• Knowledge of TLS, DNS, ACME protocols, Let's Encrypt, and certificate automation.
• Experience with CI/CD tools, source control, deployment pipelines, and artifact management.
• Proficiency in Python, SQL, and Bash scripting.
• Strong technical writing, documentation, and architecture diagramming skills.
• Excellent communication and collaboration skills.
Core Competencies:
• Cloud infrastructure architecture and administration
• AI platform operations and deployment
• DevOps and CI/CD automation
• Monitoring, observability, and FinOps
• Security architecture and identity management
• Infrastructure-as-Code and automation
• Technical troubleshooting and root cause analysis
• Customer-facing technical consulting
• Documentation and knowledge transfer
Preferred Qualifications:
• Oracle Cloud certifications such as OCI Architect Professional or OCI DevOps Professional.
• Experience supporting multi-tenant SaaS or managed-service environments.
• Exposure to large language model (LLM) infrastructure and agentic AI frameworks such as LangChain, MCP, or similar technologies.
• Experience implementing AI observability platforms such as LangFuse, MLflow, or equivalent tools.
• Familiarity with JD Edwards EnterpriseOne, including CNC, AIS, Orchestrator Studio, or security administration.
• Experience participating in Oracle Partner Network, Oracle ACE, or similar technical communities.
Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT