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Ai Application Developer Jobs in Ohio (NOW HIRING)

Application Security Solutions Engineer

Columbus, OH · On-site

$56.75 - $75.75/hr

... AI-enabled applications. The Application Security Engineer works closely with application ... development, DevOps, risk management, and information security teams. Essential Functions Perform ...

Job Responsibilities * Build AI-powered applications that deliver agentic and generative AI ... Apply prompt engineering and evaluation to measure application quality - build test cases, run LLM ...

Job Responsibilities * Build AI-powered applications that deliver agentic and generative AI ... Apply prompt engineering and evaluation to measure application quality - build test cases, run LLM ...

Application Engineer

Eastlake, OH · Hybrid

$80K - $110K/yr

The Application Engineer develops an in-depth understanding of each customer's technical ... All applications are reviewed by people, and AI is not used to make hiring decisions independently.

About the Role The Senior Application Engineer is a senior technical resource on the support team ... The role also champions AI-driven tools and process improvements that increase the team ...

About the Role The Senior Application Engineer is a senior technical resource on the support team ... The role also champions AI-driven tools and process improvements that increase the team ...

About the Role The Senior Application Engineer is a senior technical resource on the support team ... The role also champions AI-driven tools and process improvements that increase the team ...

Showing results 41-60

Ai Application Developer information

See Ohio salary details

$16

$50

$80

How much do ai application developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai application developer in Ohio is $50.04, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $57.60 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Ohio? For Ai Application Developer jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Ai Application Developer job openings in Ohio as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,092 per year, or $50 per hour.

Senior Engineer Artificial Intelligence

Tata Consultancy Service Limited

Milford, OH • On-site

$120K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Must Have Technical/Functional Skills
Must-Have Skills and Experience
• Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies.
• Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments.
• Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios.
• Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value.
• Total experience: 5 to 7 years, including 3 to 5 years of AI experience, with strong written and spoken English.
• Bachelors degree in Engineering or Computer Science.
Preferred Skills
• Google Professional ML Engineer certification is preferred.
• Gemini Enterprise Partner Certification preferred.
• Google Associate Cloud Engineer certification preferred.
• Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.
Roles & Responsibilities
• Build working prototypes, proof points, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
• Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
• Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
• Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
• Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.
Generic Managerial Skills:
• Strong stakeholder management and cross-functional collaboration
• Ability to understand customer requirements and translate them into actionable technical outcomes
• Clear communication of technical concepts to business and non-technical stakeholders
• Ownership mindset with accountability for delivery, timelines, and quality
• Problem-solving ability in ambiguous or fast-moving environments
• Prioritization skills to manage multiple prototypes, demos, or validation requests
• Ability to influence teams without direct authority
• Strong documentation and reporting discipline
• Customer-centric thinking with focus on business value and outcome alignment
• Adaptability to work in pilot, evolving, or high-visibility engagement models
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$145,000 a year