AI Engineer Visa Sponsorship Jobs in Ohio
Ohio's AI engineering market is anchored by employers like JPMorgan Chase, Nationwide, and Procter and Gamble in Columbus and Cincinnati, alongside a growing tech presence in Cleveland. Major research universities including Ohio State drive a strong talent pipeline, and several Ohio-based employers have established H-1B visa sponsorship track records for AI and machine learning roles.
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Get Access To All JobsINTRODUCTION
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 09/30/2026.
WORK YOU'LL DO
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.
- Lead small engagements or key workstreams within larger technology transformation programs
- Own the design and architecture of Claude-based Generative AI and agentic solutions, including RAG pipelines, embeddings and vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures, leveraging the Claude Agent SDK and Claude Cowork
- Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions that support Claude/Anthropic deployments
- Build and govern LLMOps practices, including evaluation frameworks, monitoring, prompt lifecycle management, and guardrails for production Claude deployments
- Manage day-to-day stakeholder relationships, aligning technical delivery with business and program objectives
- Oversee the quality of team deliverables and recommendations, contributing hands-on to solution delivery when needed
- Support practice growth through proposal development, thought leadership, and go-to-market content related to agentic AI
- Coach and upskill practitioners transitioning onto Generative AI and Claude-focused work
You'll be deployed onto client engagements that typically involve one or more of the following:
- Leading the architecture and delivery of enterprise-scale agentic AI platforms powered by Claude, from design through production operation
- Owning technical direction for multi-agent systems spanning orchestration, tool integration, memory/state management, and governance guardrails
- Leading modernization of AI/ML or data platforms to incorporate Generative AI capabilities such as RAG pipelines and agent-based orchestration
- Advising client executives on Generative AI strategy, responsible AI practices, and model/platform selection
- Managing cross-functional delivery teams and client relationships across the engagement lifecycle, while contributing to proposal and business development efforts
QUALIFICATIONS
Required:
- 6+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
- 3+ years of hands-on experience developing AI/ML applications in Python
- At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
- At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
- At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
- At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
- 2+ years of experience leading, managing, and delivering complex AI solution engagements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience in consulting or other client-facing delivery roles
- Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
- Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
- Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
- Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
- Cloud certification(s) - AWS, Azure, or Google Cloud
- Experience creating client workshop collateral and leading interactive working sessions
- Experience presenting technical content to both large and small audiences
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
INTRODUCTION
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 09/30/2026.
WORK YOU'LL DO
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.
- Lead small engagements or key workstreams within larger technology transformation programs
- Own the design and architecture of Claude-based Generative AI and agentic solutions, including RAG pipelines, embeddings and vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures, leveraging the Claude Agent SDK and Claude Cowork
- Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions that support Claude/Anthropic deployments
- Build and govern LLMOps practices, including evaluation frameworks, monitoring, prompt lifecycle management, and guardrails for production Claude deployments
- Manage day-to-day stakeholder relationships, aligning technical delivery with business and program objectives
- Oversee the quality of team deliverables and recommendations, contributing hands-on to solution delivery when needed
- Support practice growth through proposal development, thought leadership, and go-to-market content related to agentic AI
- Coach and upskill practitioners transitioning onto Generative AI and Claude-focused work
You'll be deployed onto client engagements that typically involve one or more of the following:
- Leading the architecture and delivery of enterprise-scale agentic AI platforms powered by Claude, from design through production operation
- Owning technical direction for multi-agent systems spanning orchestration, tool integration, memory/state management, and governance guardrails
- Leading modernization of AI/ML or data platforms to incorporate Generative AI capabilities such as RAG pipelines and agent-based orchestration
- Advising client executives on Generative AI strategy, responsible AI practices, and model/platform selection
- Managing cross-functional delivery teams and client relationships across the engagement lifecycle, while contributing to proposal and business development efforts
QUALIFICATIONS
Required:
- 6+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
- 3+ years of hands-on experience developing AI/ML applications in Python
- At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
- At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
- At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
- At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
- 2+ years of experience leading, managing, and delivering complex AI solution engagements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience in consulting or other client-facing delivery roles
- Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
- Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
- Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
- Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
- Cloud certification(s) - AWS, Azure, or Google Cloud
- Experience creating client workshop collateral and leading interactive working sessions
- Experience presenting technical content to both large and small audiences
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
AI Engineer Job Roles in Ohio
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Search AI Engineer Jobs in OhioAI Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for AI engineers?
Several large Ohio employers have documented H-1B sponsorship histories for AI and machine learning roles. JPMorgan Chase and Nationwide in Columbus, Procter and Gamble and Kroger in Cincinnati, and Progressive Insurance near Cleveland have all filed LCAs for AI-related positions. Technology consulting firms and cloud services companies with Ohio offices also sponsor AI engineers regularly.
Which visa types are most common for AI engineer roles in Ohio?
The H-1B is the most common visa for AI engineers in Ohio, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with extraordinary ability or recognition in the AI field may also qualify for the O-1A. Australians specifically may pursue the E-3 visa, which has no lottery.
Which cities in Ohio have the most AI engineer visa sponsorship jobs?
Columbus is the most active market for AI engineer sponsorship in Ohio, driven by its financial services, insurance, and retail technology sectors. Cincinnati is a strong secondary market with corporate headquarters in consumer goods and financial services. Cleveland has a smaller but growing presence, particularly in healthcare AI and manufacturing automation tied to industrial employers in the region.
How to find ai engineer visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates searching for visa-sponsoring employers. You can filter by role and state to surface AI engineer positions in Ohio where employers have active sponsorship histories. This is more efficient than broad job searches because the platform is designed around sponsorship eligibility, saving time that would otherwise go toward screening out non-sponsoring postings.
Are there any Ohio-specific considerations for AI engineers seeking visa sponsorship?
Ohio State University, Case Western Reserve, and the University of Cincinnati produce substantial AI and machine learning talent, meaning employers in the state are experienced with OPT and H-1B transitions for international graduates. Ohio's cost of living relative to coastal tech hubs also affects prevailing wage calculations under the LCA, which can influence where employers choose to hire and sponsor sponsored roles.
What is the prevailing wage for sponsored ai engineer jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.