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Ai Platform Engineer Jobs in Ohio (NOW HIRING)

Google Cloud Platform, that utilize Big Query, Kubeflow and Python language, and is looking for AI Platform Engineer with a passion to creatively solve scalability, deployments and development ...

Principal AI Engineer

Columbus, OH · On-site +1

$168K - $252K/yr

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 ...

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 ...

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 ...

Platform Engineer I Location: Cincinnati, OH (Onsite) Length: 6 months Role Overview This position ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Define the platform experience for developers, data scientists, product teams, business users, and ... Monitor developments in generative AI, machine learning, large language models, agentic AI, model ...

Define the platform experience for developers, data scientists, product teams, business users, and ... Monitor developments in generative AI, machine learning, large language models, agentic AI, model ...

Build and manage reusable AI platform services and frameworks that support multiple data science and engineering teams. Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering ...

Build and manage reusable AI platform services and frameworks that support multiple data science and engineering teams. * Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering ...

Build and manage reusable AI platform services and frameworks that support multiple data science and engineering teams. Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering ...

... MLOps platforms while establishing standards for model development, deployment, monitoring ... of AI Engineers and MLOps Engineers, fostering engineering excellence, innovation, talent ...

Lead Platform Engineer

Cleveland, OH · On-site

$99K - $130K/yr

Feel free to apply and you will receive a call from my AI Assistant Riley, however if your reading ... Platform Engineer Location: Cleveland, Ohio (On-site) Role Overview This role is responsible for ...

Senior DevOps/Platform Engineer Jitsu, Inc. Cleveland, Ohio, United States About Jitsu Jitsu gives ... AI-driven SRE & DevOps mindset: familiarity with AIOps (anomaly detection, intelligent alerting ...

Senior DevOps/Platform Engineer Jitsu, Inc. Columbus, Ohio, United States About Jitsu Jitsu gives ... AI-driven SRE & DevOps mindset -- familiarity with AIOps (anomaly detection, intelligent alerting ...

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Ai Platform Engineer information

See Ohio salary details

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How much do ai platform engineer jobs pay per hour?

As of Sep 3, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

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

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

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

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 61% Full Time, 37% Part Time, and 2% 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 Architect, Strategy and Enablement

Eisneramper Llp

Columbus, OH

Full-time

Re-posted 6 days ago


EisnerAmper rating

9.7

Company rating: 9.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 23 rated bookkeepers and accountants


Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role will own and execute AI Platform strategy, defining the multi-year roadmap, cross-service-line capability, and coherence that position the platform as a strategic asset, scaling to 1,000 deployed AI agents across every solution, from intelligent tax preparation to agentic audit workflows. The role will build model lifecycle, evaluation, and multi-vendor orchestration as usage expands across every team.

Reporting to the Chief AI Officer, this is a high-impact, high-visibility role at the intersection of platform architecture, AI engineering, and strategic operations. The critical dimensions of this position are internal - elevating platform fluency and technical depth across teams and external - cultivating strategic partnerships across the hyperscaler and AI vendor ecosystem to extend platform capability into wide ecosystem integration opportunities.

What it Means to Work for EisnerAmper:
  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:Own and Execute AI Platform Strategy
  • Own the multi-year platform roadmap - architecture, model lifecycle, and governance-as-code - scaling the EisnerAI Platform on Azure toward 1,000+ deployed agents while ensuring Tax, Audit, Advisory, and Outsourcing build on one coherent foundation.

  • Define and enforce model lifecycle standards (active, legacy, deprecated, retired) and evaluation benchmarks across the firm's multi-LLM environment, turning vendor and model choices - GPT-4o, o3, and what comes next, into a deliberate portfolio strategy rather than ad hoc adoption.

  • Own the connection between the EisnerAI Platform and the firm's broader technology ecosystem (ETI), establishing this bridge proactively rather than retrofitting it once scale makes it expensive.

  • Ensure the platform roadmap and standards account for both B2B and B2C dimensions of the firm's AI use - firmwide client service delivery as well as direct-to-client and wealth management contexts.

Lead Platform Strategy and Architecture
  • Architect and evolve the platform's core data, application, and agentic layers on Azure AI Foundry, establishing the reference architecture and technical standards that govern how every solution from intelligent tax preparation to agentic audit workflows gets built.

  • Codify AI and data governance (NIST AI RMF, PCAOB, Section 7216, and emerging requirements including the EU AI Act) into enforceable platform-level controls and automated compliance checks, in partnership with the firm's existing AI governance function.

  • Lead AI performance engineering across the firm's LLM ecosystem, benchmarking models for accuracy, latency, cost, and quality, and directing routing and optimization strategy to continuously lower cost-per-agent without sacrificing output quality.

Build and Operate Cross-Cutting Capability Enablement
  • Build and operate the platform's real-time performance monitoring layer, hallucination rates, retrieval precision, adoption, and cost-per-interaction, as a shared capability every service line draws on rather than one each team rebuilds independently.

  • Own identity, access, and security controls for AI systems and agents firmwide, establishing the guardrails that let Tax, Audit, Advisory, and Outsourcing scale their own use cases safely on shared infrastructure.

  • Deliver executive and board-level dashboards translating platform performance, adoption, and cost into business value narratives, and mentor technical and business teams across IT, AI Advisory, and service lines to build platform fluency firmwide.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

  • 10+ years of experience in technology strategy, enterprise architecture, or platform/product leadership including experience as a Chief Architect or Enterprise Solutions Architect with a demonstrated record of scaling platforms across multiple business units

  • 5+ years architecting enterprise-scale solutions on Microsoft Azure including AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, and AI Search with direct accountability for platform reliability and cost at production scale

  • 3+ years leading LLM benchmarking, evaluation, and optimization programs in production environments, with a track record of translating model performance data into platform-wide selection and routing strategy

Preferred or Desired Qualifications
  • Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus)

  • Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred

  • Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering

  • AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization

  • Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks

  • Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana)

  • Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design

  • Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization

  • Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale

  • Experience managing cloud cost optimization initiatives with demonstrated savings outcomes

  • Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, and experience owning vendor or model portfolio strategy in a multi-LLM environment

  • Experience establishing or scaling a platform roadmap and adoption model from an engineering-first starting point

  • Track record of leading through ambiguous, rapidly evolving technology landscapes

  • Strong stakeholder management across engineering, governance, and business-line functions

  • Demonstrated experience translating governance, risk, or compliance requirements into platform-level controls or operational practice

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future.

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com

#LI-JK3

#LI-Hybrid

#LI-Remote

Preferred Location:
Philadelphia

What EisnerAmper employees say

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About EisnerAmper

Sourced by ZipRecruiter

EisnerAmper is one of the largest accounting, tax and business advisory firms in the U.S., with more than 3,000 employees and over 300 partners across the country. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today, and position them for success tomorrow. Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers and investors who serve these clients.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1963

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