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Ai Implementation Jobs in Ohio (NOW HIRING)

OH · On-site

$60 - $80/hr

If you've done implementation at a B2B software company and you're genuinely excited about AI, this is a strong fit. WHY JOIN NOW * Ground-floor opportunity -- you'll be the first dedicated ...

$125 - $150/hr

Wir setzen auf Leidenschaft für Produktion und Vermarktung! Wir, die 3C-Gruppe, sind ein leistungsstarker Möbelhersteller mit eigenen Produktionsstätten in Europa, die auf dem internationalen ...

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 ...

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 ...

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

$80 - $100/hr

Key Responsibilities AI Implementation & Deployment (ca. 75%) * You design, build, and deploy production‑ready AI solutions that deliver measurable business impact -- from intelligent automation ...

Proven track record designing and implementing RAG architectures at scale * Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development * Experience with agentic frameworks and ...

This role also provides legal guidance on emerging technologies, vendor relationships, data governance, and AI implementation while supporting Orion's commitment to innovation and regulatory ...

$100 - $125/hr

Key Responsibilities AI Implementation & Deployment (ca. 75%) * You design, build, and deploy production‑ready AI solutions that deliver measurable business impact -- from intelligent automation ...

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 ...

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 ...

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Ai Implementation information

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 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 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 machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

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 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 September 2026, with employment types broken down into 2% Internship, 81% Full Time, 7% Part Time, and 10% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution.

$60 - $80/hr

Other

Medical, PTO

Posted 6 days ago


Key responsibilities

  • Engage with customer stakeholders to understand workflows, pain points, and define agent requirements.

  • Write, test, and iterate on prompts to ensure quality of AI agent outputs during the pilot phase.

  • Create actionable briefs for the engineering team and relay structured feedback to support platform development.


Job description

COMPENSATION & BENEFITS

Salary $40,000 – $80,000 (based on experience)

Equity Stock options

Healthcare Medical benefits included

Time Off Generous paid time off

ABOUT THE COMPANY

Dash Technologies Inc is building RATIFAI — a MedTech intelligence and execution platform purpose-built for medical device companies. RATIFAI deploys thousands of AI agents across every critical function of the business: finance, quality, regulatory, clinical, operations, and beyond.

Where traditional software shows you what happened, RATIFAI tells you what it means — and then gets the work done. Our agents don’t just surface insights, they execute: drafting documents, triaging issues, closing month-end tasks, screening literature, flagging compliance risks, and routing decisions to the right people at the right time. The result is a leaner, faster organization running at a level of productivity that wasn’t possible before AI.

We’re in stealth, early, and moving fast. The platform is live with customers, the agent network is growing, and we’re building the team that will help define how AI transforms the medical device industry.

THE ROLE

You’ll start by owning our first customer engagement end-to-end — sitting with stakeholders to understand what they need, translating that into agent requirements, writing and refining prompts, testing outputs, and relaying structured feedback to our engineering team in India. You’ll work day-to-day with our CEO and have strategic direction from RATIFAI’s CTO.

This isn’t just a PoC role. Once the initial engagement is live, you become the person who drives the platform forward from the customer’s perspective — identifying what’s working, what needs to improve, and what to build next. As we bring on additional customers, you’ll own those relationships too, building a repeatable playbook for how RATIFAI deploys and delivers value.

This is a hands-on, high-ownership role on a small team. You won’t just coordinate — you’ll actively shape how our agents behave and how the product evolves.

GROWTH PATH

This role starts with hands-on implementation and grows with the company. As RATIFAI scales, you’ll move from executing deployments to owning the customer success function — becoming the internal voice of the customer and eventually leading the team that delivers value across our entire customer base.

YOUR FIRST 90 DAYS
  • Complete the first customer PoC and deliver a clean handoff to a paid engagement
  • Document a repeatable agent requirements and deployment playbook
  • Establish a reliable feedback loop between the customer and our engineering team in India
  • Have a working understanding of RATIFAI’s agent architecture and be able to write and iterate on prompts independently
WHAT YOU’LL DO Phase 1 — First Customer PoC
  • Engage with customer stakeholders (C-suite level) to understand workflows, pain points, and what “good” looks like for each AI agent
  • Translate business context into clear, structured agent requirements — data inputs, expected outputs, edge cases
  • Write, test, and iterate on prompts; own the quality of agent outputs through the pilot
  • Create actionable briefs for our engineering team in India and follow through to resolution
  • Bridge the ~10.5-hour time gap between Dublin, OH and India — you’ll have deep focus hours during the US day and a tight async window with engineering in the morning and evening
Phase 2 — Platform Advancement & Customer Growth
  • Become the voice of the customer internally — identify gaps, prioritize improvements, and advocate for features that drive real value
  • Work with our CEO to translate domain expertise and customer feedback into the product roadmap
  • Own onboarding and implementation for new customers as RATIFAI scales
  • Build and refine the deployment playbook so each new engagement is faster and higher quality than the last
WHAT WE’RE LOOKING FOR Must-have
  • 2–5 years in a customer-facing technical role — implementation, solutions consulting, business analysis, or customer success at a SaaS or enterprise tech company
  • Comfortable with AI/LLM tools — you’ve used ChatGPT, Claude, or similar for real work and understand how prompting affects outputs
  • Strong written communication — crisp requirements docs, clear async messages to engineers, polished summaries for executives
  • Organized and self-directed — this is a startup; you’ll create your own structure
  • Located in or willing to commute daily to Dublin, OH
Nice-to-have
  • Background in medical devices, healthcare, or regulated industries — familiarity with 510(k), FDA compliance, quality systems, or post-market surveillance is a real advantage
  • Experience with data analytics, BI tools, or structured business data
  • Familiarity with project coordination tools (Asana, Linear, Notion, Jira)
  • Experience working with distributed or offshore engineering teams
WHAT THIS IS NOT

This is not a pure sales role, a coding role, or an admin role. You need enough technical fluency to have credible conversations with engineers and enough business sense to navigate a C-suite customer. If you’ve done implementation at a B2B software company and you’re genuinely excited about AI, this is a strong fit.

WHY JOIN NOW
  • Ground-floor opportunity — you’ll be the first dedicated implementation hire
  • Direct exposure to enterprise AI deployment in a regulated, high-stakes industry
  • Work directly with the CEO and CTO — no layers, high visibility
  • Real ownership from day one, with a clear path to leading customer success as we grow
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