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Ai Root Jobs in Ohio (NOW HIRING)

Elara Caring

AI Automation Engineer II

Toledo, OH · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a ... Resolves complex technical challenges by identifying root causes, evaluating options, and ...

New

Elara Caring

AI Automation Engineer II

Cleveland, OH · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a ... Resolves complex technical challenges by identifying root causes, evaluating options, and ...

New

Elara Caring

AI Automation Engineer II

Toledo, OH · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a ... Resolves complex technical challenges by identifying root causes, evaluating options, and ...

New

Elara Caring

AI Automation Engineer II

Cleveland, OH · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a ... Resolves complex technical challenges by identifying root causes, evaluating options, and ...

New

J.P. Morgan

AI Sr Lead Software Engineer

Columbus, OH · On-site

... root-cause analysis), while establishing measurable validation standards (secure coding, peer ... Proven track record using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate ...

CareSource

Claims AI Business Analyst IV

Dayton, OH · On-site +1

$94K - $164K/yr

The Claims AI Business Analyst IV is responsible for driving end-to-end process transformation ... Apply process improvement methodologies (e.g., process mapping, workflow redesign, root cause ...

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Ai Root information

What are common challenges faced by AI research scientists when working on innovative machine learning projects?

AI Research Scientists often encounter challenges such as balancing cutting-edge research with practical implementation, ensuring data quality and availability, and keeping up with the rapidly evolving AI landscape. Collaboration with cross-functional teams—such as data engineers, product managers, and software developers—is crucial to translate research breakthroughs into real-world applications. Additionally, effectively communicating complex concepts to non-technical stakeholders and managing project timelines can be demanding but rewarding aspects of the role.

What is the difference between Ai Root vs Data Analyst?

AspectAi RootData Analyst
Required CredentialsTypically requires AI/machine learning certifications, programming skills, and a background in computer scienceOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft or SAS are common
Work EnvironmentPrimarily in tech companies, AI research labs, or software development teamsIn various industries including finance, healthcare, marketing, often in office settings
Employer & Industry UsageUsed in AI development, machine learning projects, and automation tasksUsed for data interpretation, reporting, and supporting business decisions

While both roles involve working with data and technology, Ai Root focuses on developing AI systems and algorithms, requiring advanced programming and AI expertise. Data Analysts primarily interpret data to inform business strategies, often with a focus on statistical analysis. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What jobs will be available in AI?

Jobs available in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, with some roles demanding advanced degrees or certifications. The AI industry offers opportunities across sectors including technology, healthcare, finance, and automotive.

What is an AI Root?

AI Root jobs typically refer to roles involved in developing, maintaining, or overseeing the foundational systems and architectures that support artificial intelligence (AI) applications. Professionals in these positions may work on building core AI models, optimizing machine learning infrastructure, or ensuring the scalability and reliability of AI platforms. These jobs are crucial for enabling organizations to deploy AI solutions effectively and securely, and may include titles such as AI Infrastructure Engineer, Machine Learning Platform Engineer, or AI Systems Architect. Candidates often need experience in software engineering, data science, and cloud computing.

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

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency in programming languages like Python, familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Critical thinking, creativity, and effective communication are essential soft skills for collaborating with teams and developing innovative solutions. These competencies enable researchers to design, implement, and communicate cutting-edge AI models that address complex real-world problems.
What are popular job titles related to Ai Root jobs in Ohio? For Ai Root jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Root jobs in Ohio look for? The top searched job categories for Ai Root jobs in Ohio are:
What cities in Ohio are hiring for Ai Root jobs? Cities in Ohio with the most Ai Root job openings:
Ai Root jobs near you
Infographic showing various Ai Root 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.

Java AI Lead Software Engineer, Automation and Reliability

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 11 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


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Deposits Technology 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Develops and codes in Java with some Python as an individual contributor solving complex technical issues and driving resolution across applications, services and platforms
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
    Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Operates as a senior hands-on individual contributor, writing code, solving complex technical issues, and driving resolution across applications, services, and platforms
  • Leads the design, development and modernization of software solutions that improve reliability, scalability, automation and operational efficiency across complex technology platforms
  • Builds, enhances and maintains automation frameworks, AI-driven engineering solutions, internal platforms and reusable tools for engineering teams
  • Supports performance testing, resiliency testing, chaos testing, and controlled failure scenarios to validate system behavior under production-like conditions
  • Leads engineers through code reviews, technical guidance, problem-solving support, and promotion of strong engineering practices
  • Communicates technical strategy, reliability risks, resolution plans, and delivery progress clearly to engineering teams, product partners, and leadership
  • Defines and promotes release readiness checks, quality gates, test coverage expectations, reliability standards, and validation approaches for cloud-native platforms

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced proficiency in programming languages such as Java (Primary) and Python (Secondary)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
  • Strong hands-on software engineering experience with the ability to design, code, debug, test, and resolve complex technical problems independently
  • Possess a strong ownership mindset with a track record of solving difficult problems, improving engineering practices, and driving technical issues to closure across complex environments
  • 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 controls
  • Experience in Leading engineers, raising technical standards, communicating tradeoffs, and influencing stakeholders across engineering and leadership audiences
  • Strong analytical skills with the ability to investigate failures, identify root causes, recommend durable fixes, and drive issues to closure
  • Practical experience modernizing cloud-native applications, improving platform reliability, or leading automation-driven engineering initiatives
  • Experience with microservices, RESTful APIs, relational databases, NoSQL databases, messaging frameworks, and event-driven architectures

Preferred qualifications, capabilities, and skills
  • Experience with performance testing, load testing, resiliency validation, or reliability tools (JMeter, Blazemeter, Gatling, etc.)
  • Experience with observability and monitoring tools such as (Splunk, Dynatrace, Grafana, CloudWatch etc.)
  • Cloud certification in AWS, GCP, or Azure

About Us
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
About the Team
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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