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Ai Implementation Jobs in Ohio (NOW HIRING)

Virtusa Corporation

AI Architect

Columbus, OH · On-site

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Virtusa

AI Architect

Columbus, OH · On-site

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Virtusa

AI Architect

Columbus, OH

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Virtusa

AI Architect

Columbus, OH · On-site

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Booz Allen Hamilton

Implementation Engineer

Columbus, OH · On-site

$61K - $141K/yr

Implementation Engineer The Opportunity: Maintain responsibility for completing site surveys and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

AssistIQ

Implementation Manager

Columbus, OH · On-site

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... About the Role In the role of Implementation Manager, you'll deploy AssistIQ's software across ...

AssistIQ

Implementation Manager

Columbus, OH · On-site +1

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... About the Role In the role of Implementation Manager, you'll deploy AssistIQ's software across ...

Airtable

Advise partners on AI/ML best practices, responsible AI implementation, and emerging technologies that enhance the Airtable platform * Stay current with developments in generative AI, machine ...

LawPro.ai

OH · On-site

AI Pipeline Optimization ... Directly implement optimizations to LLM-based orchestration pipelines for document understanding ...

New

AssistIQ

Sr. Implementation Manager

Columbus, OH · On-site

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... As a Senior Implementation Manager, you will lead complex, multi-site deployments of AssistIQ ...

AssistIQ

Sr. Implementation Manager

Columbus, OH · On-site +1

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... As a Senior Implementation Manager, you will lead complex, multi-site deployments of AssistIQ ...

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Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What are the most commonly searched types of Ai Implementation jobs in Ohio? The most popular types of Ai Implementation jobs in Ohio are:
What are popular job titles related to Ai Implementation jobs in Ohio? For Ai Implementation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Ohio look for? The top searched job categories for Ai Implementation jobs in Ohio are:
What cities in Ohio are hiring for Ai Implementation jobs? Cities in Ohio with the most Ai Implementation job openings:
Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Ohio as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Architect

Virtusa Corporation

Columbus, OH • On-site

Full-time

Re-posted 11 days ago

Job description

Role Overview
We are seeking experienced AI Architects to join a centralized AI Center of Excellence (CoE), responsible for driving enterprise-wide AI transformation. This role focuses on embedding agentic AI into delivery models and the end-to-end SDLC, while defining governance, standards, and scalable AI frameworks in a highly regulated environment. The architect will act as a strategic authority and hands-on leader, ensuring consistent, secure, and high-quality AI implementations across client-facing and internal platforms.
Key Responsibilities
AI-Driven SDLC Transformation
Design AI-first delivery models across requirements, development, testing, and deployment. Integrate AI agents into DevOps/CI-CD pipelines and define measurable productivity KPIs (cycle time, defect reduction, velocity).
Agentic AI Architecture
Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI.
Define agent patterns (planner-executor, tool-using agents, critic loops) and ensure observability, explainability, and guardrails.
AI Platform & Framework Development
Build reusable accelerators, playbooks, and reference architectures. Establish standards for prompt engineering, RAG, model selection, and evaluation. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure.
Preferred Qualifications
- Financial services domain experience
- Experience building internal developer platforms (IDPs)
- Cloud certifications (AWS/Azure/GCP)
- Exposure to spec-driven AI development and AI playbooks
Required Qualifications
- 12+ years in software engineering/architecture; 5+ years in AI/ML
- Strong hands-on experience with GenAI, LLMs, and agentic AI systems
- Expertise in RAG, embeddings, prompt engineering, and evaluation frameworks
- Experience with distributed systems, APIs, microservices, and Kubernetes
- Familiarity with MLOps/LLMOps pipelines and cloud AI platforms
- Experience working in regulated environments (financial services preferred)
- Strong understanding of AI governance, model risk, and data privacy
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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