AI Consultant Jobs in Ohio
AI Consultant jobs in Ohio are steadily active, with demand concentrated in financial services, healthcare technology, and manufacturing automation across seniority levels from entry-level data analysts to senior AI strategists. Columbus, Cleveland, and Cincinnati are the primary hiring metros, home to employers such as Nationwide, KeyBank, and Procter & Gamble that maintain substantial technology and analytics teams. Roles in machine learning engineering, enterprise AI integration, and data strategy see the strongest Ohio-specific demand. Find a role that fits below and apply directly.
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Showing 5 of 16+ AI Consultant jobs
A senior Microsoft-focused consulting role spanning discovery, architecture, engineering, governance, and client enablement.
~ Client-Facing (Discovery/Architecture/Delivery)
~ Microsoft Cloud (Azure & Microsoft Fabric)
~ Data Engineering (Trusted Data Foundations for Analytics & AI)
Interlink Cloud Advisors is looking for a Senior Data & AI Engineering Consultant to help clients build modern, scalable data platforms on Microsoft Azure and Microsoft Fabric. In this client-facing role, you'll lead discovery, design pragmatic architectures, and deliver end-to-end solutions that turn raw data into trusted, analytics-ready datasets for BI, reporting, advanced analytics, and AI use cases. You'll work across Fabric (OneLake, Lakehouse, Warehouse) and Azure data services to ensure solutions are secure, governed, maintainable, cost-conscious, and operationally ready.
WHAT YOU'LL DO
- Lead client discovery to understand business goals, the data landscape, constraints, and success metrics, then translate findings into a clear delivery plan.
- Design and recommend data lake, lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs.
- Implement, or guide implementation of, ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services such as Data Factory, Synapse, and Databricks.
- Integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption.
- Build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects.
- Enable multiple compute engines - SQL, Spark/PySpark, Spark SQL, and KQL - against shared datasets to support diverse analytics scenarios.
- Prepare governed data products and reusable datasets for BI, advanced analytics, and AI use cases, including retrieval-ready data patterns when relevant.
- Establish data quality practices, including validation, reconciliation, testing, and monitoring; troubleshoot failures and continuously improve pipeline resiliency.
- Optimize transformations, query performance, and pipeline execution to meet client service level and cost objectives.
- Implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed.
- Design and implement security, governance, and compliance controls, including access, least privilege, data protection, and lineage across Azure and Fabric.
- Facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets.
- Produce clear consulting deliverables, including design documents, diagrams, implementation guides, and enablement materials, to support adoption and a smooth handoff.
Required Qualifications
- Experience designing and delivering modern analytics platforms using lakehouse and/or data warehouse patterns on Azure and/or Microsoft Fabric, including client-facing delivery.
- Strong SQL skills with experience building transformations and dimensional or analytical models.
- Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads.
- Experience applying software engineering practices to data solutions, including modular design, source control, automated testing, code review, and technical documentation.
- Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring.
- Knowledge of data quality practices, including validation, reconciliation, testing, incident triage, and root-cause analysis.
- Working knowledge of Power BI, including semantic modeling concepts, to support end-to-end analytics delivery; Power Apps experience is a plus.
- Understanding of security and governance concepts for data platforms, including access controls, least privilege, compliance, and lineage.
- Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.
Preferred Qualifications
- Direct experience with Microsoft Fabric components - OneLake, Lakehouse, Warehouse, Data Factory in Fabric, and Real-Time Analytics/KQL databases - including platform administration, capacity planning, and standards.
- Experience with Azure services commonly used in data platforms, such as Azure Data Factory, Synapse, Databricks, ADLS Gen2, and Key Vault.
- Working knowledge of Azure architecture fundamentals across identity, networking, storage, monitoring, resiliency, and cost management.
- Familiarity with AI-enablement patterns - such as preparing governed enterprise data for Azure AI Search or Microsoft Foundry, retrieval-augmented generation, or agent-based solutions—is valued. Deep agent application development experience is not required.
- Experience implementing CI/CD and Infrastructure as Code, including environment strategy and release management for data solutions.
- Familiarity with semantic modeling and BI enablement patterns, including Power BI datasets, self-service analytics, and governance guardrails.
- Current Microsoft certifications relevant to the role are valued, especially Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), and, for broader architecture responsibilities, Microsoft Certified: Azure Solutions Architect Expert (AZ-305). Equivalent current Microsoft credentials and experience mentoring or enabling client teams are also welcome.
About Us
Interlink is a nationally recognized IT consultancy, offering the flexibility of a small company while providing stability and benefits usually found at enterprise firms. We work with a "family first" attitude, so we look to hire motivated individuals who understand that getting work done while having fun is important. As the winner of The Best Places to Work Award for five consecutive years, we know what it takes to care for our employees and clients.
Interlink Advantage
We are the premier Microsoft Cloud consulting company based in Mason, OH. We are a team of trusted experts who know how to navigate the intricacies of Microsoft's technologies, guiding and educating clients to avoid overspending on tech licenses while optimizing their tools. At Interlink, we believe working in an innovative, fun, and collaborative environment is key to success. Get to know us and our company culture more at: http://www.interlink.com/about-us/company-culture.
Interlink Cloud Advisors is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
A senior Microsoft-focused consulting role spanning discovery, architecture, engineering, governance, and client enablement.
~ Client-Facing (Discovery/Architecture/Delivery)
~ Microsoft Cloud (Azure & Microsoft Fabric)
~ Data Engineering (Trusted Data Foundations for Analytics & AI)
Interlink Cloud Advisors is looking for a Senior Data & AI Engineering Consultant to help clients build modern, scalable data platforms on Microsoft Azure and Microsoft Fabric. In this client-facing role, you'll lead discovery, design pragmatic architectures, and deliver end-to-end solutions that turn raw data into trusted, analytics-ready datasets for BI, reporting, advanced analytics, and AI use cases. You'll work across Fabric (OneLake, Lakehouse, Warehouse) and Azure data services to ensure solutions are secure, governed, maintainable, cost-conscious, and operationally ready.
WHAT YOU'LL DO
- Lead client discovery to understand business goals, the data landscape, constraints, and success metrics, then translate findings into a clear delivery plan.
- Design and recommend data lake, lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs.
- Implement, or guide implementation of, ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services such as Data Factory, Synapse, and Databricks.
- Integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption.
- Build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects.
- Enable multiple compute engines - SQL, Spark/PySpark, Spark SQL, and KQL - against shared datasets to support diverse analytics scenarios.
- Prepare governed data products and reusable datasets for BI, advanced analytics, and AI use cases, including retrieval-ready data patterns when relevant.
- Establish data quality practices, including validation, reconciliation, testing, and monitoring; troubleshoot failures and continuously improve pipeline resiliency.
- Optimize transformations, query performance, and pipeline execution to meet client service level and cost objectives.
- Implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed.
- Design and implement security, governance, and compliance controls, including access, least privilege, data protection, and lineage across Azure and Fabric.
- Facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets.
- Produce clear consulting deliverables, including design documents, diagrams, implementation guides, and enablement materials, to support adoption and a smooth handoff.
Required Qualifications
- Experience designing and delivering modern analytics platforms using lakehouse and/or data warehouse patterns on Azure and/or Microsoft Fabric, including client-facing delivery.
- Strong SQL skills with experience building transformations and dimensional or analytical models.
- Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads.
- Experience applying software engineering practices to data solutions, including modular design, source control, automated testing, code review, and technical documentation.
- Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring.
- Knowledge of data quality practices, including validation, reconciliation, testing, incident triage, and root-cause analysis.
- Working knowledge of Power BI, including semantic modeling concepts, to support end-to-end analytics delivery; Power Apps experience is a plus.
- Understanding of security and governance concepts for data platforms, including access controls, least privilege, compliance, and lineage.
- Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.
Preferred Qualifications
- Direct experience with Microsoft Fabric components - OneLake, Lakehouse, Warehouse, Data Factory in Fabric, and Real-Time Analytics/KQL databases - including platform administration, capacity planning, and standards.
- Experience with Azure services commonly used in data platforms, such as Azure Data Factory, Synapse, Databricks, ADLS Gen2, and Key Vault.
- Working knowledge of Azure architecture fundamentals across identity, networking, storage, monitoring, resiliency, and cost management.
- Familiarity with AI-enablement patterns - such as preparing governed enterprise data for Azure AI Search or Microsoft Foundry, retrieval-augmented generation, or agent-based solutions—is valued. Deep agent application development experience is not required.
- Experience implementing CI/CD and Infrastructure as Code, including environment strategy and release management for data solutions.
- Familiarity with semantic modeling and BI enablement patterns, including Power BI datasets, self-service analytics, and governance guardrails.
- Current Microsoft certifications relevant to the role are valued, especially Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), and, for broader architecture responsibilities, Microsoft Certified: Azure Solutions Architect Expert (AZ-305). Equivalent current Microsoft credentials and experience mentoring or enabling client teams are also welcome.
About Us
Interlink is a nationally recognized IT consultancy, offering the flexibility of a small company while providing stability and benefits usually found at enterprise firms. We work with a "family first" attitude, so we look to hire motivated individuals who understand that getting work done while having fun is important. As the winner of The Best Places to Work Award for five consecutive years, we know what it takes to care for our employees and clients.
Interlink Advantage
We are the premier Microsoft Cloud consulting company based in Mason, OH. We are a team of trusted experts who know how to navigate the intricacies of Microsoft's technologies, guiding and educating clients to avoid overspending on tech licenses while optimizing their tools. At Interlink, we believe working in an innovative, fun, and collaborative environment is key to success. Get to know us and our company culture more at: http://www.interlink.com/about-us/company-culture.
Interlink Cloud Advisors is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
See All 16 AI Consultant Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI Consultant JobsAI Consultant Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
AI Consultant Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in AI consultant jobs across Ohio.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Demonstrated experience designing and deploying machine learning or AI models in production environments
- Proficiency in Python, R, or similar languages alongside cloud platforms such as AWS or Azure
- Strong stakeholder communication skills for translating AI outputs into business recommendations
- Experience with enterprise data pipelines, ETL processes, and data governance frameworks
- Relevant certifications such as Google Professional Machine Learning Engineer or Microsoft Azure AI Engineer
AI Consultant Jobs in Ohio: Frequently Asked Questions
How do you become a ai consultant in Ohio?
AI consulting in Ohio has no state-issued license or registration requirement, so the path runs through education and credentials. Most Ohio employers expect at least a bachelor's degree in computer science, data science, or engineering, and many prefer a master's. Industry certifications from Google, Microsoft, or AWS carry real weight in Ohio hiring. Building a portfolio of applied AI projects and gaining experience in a target industry such as healthcare or financial services sharpens a candidate's profile considerably.
How much do AI consultants make in Ohio?
AI consultants in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai consultants in Ohio?
Employers hiring ai consultants in Ohio right now include Northwest Bank, Nationwide Mutual Insurance Company, and NEOMED, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of insurance carriers, regional banks, and large manufacturing operations means technology consulting teams here often focus on predictive analytics, process automation, and risk modeling.
Which Ohio cities have the most ai consultant jobs?
Columbus, Cincinnati, and Ohio account for the largest share of ai consultant openings in Ohio. Columbus drives volume through its dense cluster of insurance headquarters, fintech firms, and state government technology contracts, while Cleveland and Cincinnati contribute through healthcare systems and consumer goods companies with active AI investment programs.
Are there remote ai consultant jobs in Ohio?
Yes, and more than most fields. About 67% of ai consultant openings tied to Ohio are remote or hybrid as of November 2026, reflecting how much of the work involves code, analysis, and presentation rather than on-site presence. Strategic advisory work and model development are the sub-areas most consistently offered with location flexibility, though client-facing implementation roles tend to require periodic on-site visits.
How can I get hired as a ai consultant in Ohio with little or no experience?
The most realistic entry path is an analyst or junior data scientist role at a large Ohio employer that invests in internal AI development. Healthcare systems such as Cleveland Clinic and OhioHealth, along with Columbus-based insurance carriers, regularly hire new graduates into analytics rotational programs that expose them to applied AI work. Building a public portfolio on GitHub with real datasets, earning an entry-level cloud certification, and targeting roles titled AI analyst, data analyst, or ML engineer associate positions a candidate for a fast transition into consulting.
Where can I find and apply to ai consultant jobs in Ohio?
You can find and apply to ai consultant jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Search the available roles by city or specialty, find the ones that fit your background, and apply directly to the employer through the listing.
See All 16 AI Consultant Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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