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Ai Implementation Jobs in Ohio (NOW HIRING)

At least 2+ years in software development with Agentic AI implementation experience * Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation * Excellent in development ...

Agentic AI Engineer

Cleveland, OH · On-site

$100K - $120K/yr

At least 2+ years in software development with Agentic AI implementation experience * Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation * Excellent in development ...

Agentic AI Engineer Lead

Cleveland, OH · On-site

$120K - $130K/yr

At least 5+ years in software development with Agentic AI implementation experience preferred * Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation * Excellent in ...

Agentic AI Engineer Lead

Cleveland, OH · On-site

$94K - $125K/yr

At least 5+ years in software development with Agentic AI implementation experience preferred * Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation * Excellent in ...

Working across business and technology teams, the Senior Project Manager manages project scope, schedule, budget, risk, and stakeholder engagement while ensuring responsible AI implementation ...

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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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

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.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

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.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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 cities in Ohio are hiring for Ai Implementation jobs? Cities in Ohio with the most Ai Implementation job openings:
Infographic showing various Ai Implementation job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Implementation & Project Manager

CEO's Corner

Cincinnati, OH

Other

Posted 3 days ago


Job description

SCOPE: The AI Implementation & Project Manager will lead organizational efforts to adopt, integrate, and scale artificial intelligence solutions across departments. This role will work closely with department leadership to identify operational bottlenecks, analyze current workflows and future needs, design AI-enabled improvements, and oversee projects from concept through full deployment. The position requires strong cross-functional communication skills, a solid understanding of AI technologies, and the ability to quantify outcomes such as cost savings, productivity gains, and time reduction. This role also supports change management, adoption planning and post-implementation evaluation to ensure solutions are sustained over time.

ESSENTIAL DUTIES AND RESPONSIBILITIES: The below statements are intended to describe the general nature and scope of work being performed by this position. This is not a complete listing of all responsibilities, duties and/or skills required.

AI Strategy & Planning:

Meet regularly with department leaders to understand workflows, challenges, and opportunities where AI can enhance efficiency and productivity.

Develop an agency-wide AI roadmap aligned with organizational goals, compliance requirements, budgetary constraints and operational needs.

Identify and prioritize high-impact AI use cases across departments.

Evaluate current state and future state process to determine where AI can provide measurable value.

Project Management:

Create detailed AI project plans including scope, timelines, milestones, resourcing, budgets and risk mitigation strategies.

Manage implementation from pilot through full deployment, ensuring projects stay on schedule, budgets and within scope.

Coordinate with IT, vendors, and stakeholders to ensure technology readiness, policy alignment, and successful adoption.

Track action items, dependencies, and deliverables through implementation and post launch optimization.

AI Implementation & Support:

Evaluate different types of AI tools (generative AI, automation platforms, predictive analytics, workflow tools, etc.) to determine the best fit for specific departmental needs.

Assist teams in adopting AI workflows through demonstrations, training, documentation, and ongoing support.

Develop standards, best practices, and governance guidelines to promote safe, responsible, and compliant AI use.

Develop user guides, process maps, standard operating procedures, and best practice documentation to support consistent use.

Provide ongoing support after deployment to improve adoption and resolve issues.

Change Management & Adoption:

Lead change management efforts to encourage adoption of new AI tools and processes.

Partner with leaders and frontline staff to address resistance, gather feedback, and improve implementation outcomes.

Develop communication and training strategies tailored to different user groups and skill levels.

Monitor adoption rates and user engagement and recommend additional support where needed.

Governance, Privacy & Compliance:

Help develop and enforce AI governance policies, SOPs, guidelines, acceptable use standards, and internal control practices.

Ensure AI solutions comply with privacy, security, records retention, and regulatory requirements.

Set up AI employee usage monitoring systems and reports for risk management to ensure AI policy, procedures and guidelines adherence.

Work with IT, legal, and leadership teams to assess risk and establish approval processes as needed.

Document data handling practices and ensure sensitive information is protected appropriately.

Data & Outcome Measurement:

Design and track key metrics to quantify results such as time saved, cost reduction, performance improvements, accuracy gains, and productivity impacts.

Prepare clear reports and presentations for executive leadership showing ROI, operational benefits, and progress toward agency AI maturity.

Conduct post-implementation reviews to evaluate results and identify opportunities for improvement.

Use data to support continuous improvement and future AI planning.

Perform additional duties as assigned.