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Ai Coder Jobs in Ohio (NOW HIRING)

Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows Nice To Have * Background in cybersecurity, identity security, or ...

Experience with Devin or similar AI-assisted coding tools * Knowledge of microservices best practices * Familiarity with Infrastructure as Code, preferably CDK * Familiarity with CI/CD practices ...

The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The ...

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How much do ai coder jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai coder in Ohio is $26.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $32.88 per hour, depending on experience, location, and employer.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
What are popular job titles related to Ai Coder jobs in Ohio? For Ai Coder jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Ai Coder jobs? Cities in Ohio with the most Ai Coder job openings:
Infographic showing various Ai Coder job openings in Ohio as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $54,363 per year, or $26.1 per hour.

AI Agentic Sr Lead Software Engineer

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 8 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Small Business Lending Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Drive the technical strategy and delivery of a Lending platform, embedding AI-native capabilities (agentic workflows, LLM-powered features) into core product experiences.
  • Leads multiple technology implementations across departments to achieve firmwide technology objectives.
  • Directly manages multiple areas with strategic transactional focus.
  • Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.
  • Manage multiple stakeholders, complex projects, and large cross-product collaborations.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.   
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proven track record using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate development cycles, and ability to coach teams to adopt these tools as standard practice.
  • Experience designing and deploying agentic systems (e.g., LLM-powered agents, multi-step reasoning workflows, tool-using AI) in production environments.
  • Drives adoption of an AI-augmented engineering culture-setting standards, running experiments, and building team confidence as tooling and best practices evolve in real time.
  • Deep expertise in system design, application development, testing, and operational stability for commercially used platforms web and/or mobile.
  • Deep expertise in building and operating large scale high performance digital applications (web and/or mobile) with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
  • Deep expertise with enterprise design patterns and industry best practices with experience using modern technologies and design patterns (e.g., micro services, APIs, etc.)
  • Experience with building, leading and mentoring technology teams, and next level leaders within the organization. 
  • Experience with implementing industry standard cybersecurity & technology controls.
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and

 
 
Preferred qualifications, capabilities, and skills
 
  • Experience leading engineering culture transformation initiatives, particularly dirving adoptio of AI tooling, new development workflows or technical practice changes across distributed teams.   Strong experience with Cloud providers (AWS, GCP, Azure)   
  • Strong experience with Cloud providers (AWS, GCP, Azure)
 
 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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