AI Engineer Jobs in Charlotte, NC
AI Engineer jobs in Charlotte are concentrated in Uptown, South End, and the University City corridor, with strong demand in fintech, banking technology, and healthcare AI. Employers actively hiring include Infosys, The Hartford, and NTT DATA. Scan the live roles below and apply to whichever ones fit.
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Showing 4 of 80+ AI Engineer jobs
- Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
- Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
- Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
- Support the team to foster a robust technical environment and ensure error-free coding.
- Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
- Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
- Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
- Support in implementation of technical services to meet quality service (QoS) requirements
- Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
- Interface with customers during warranty support to ensure issues are fixed in a timely manner.
- Address technical issues during testing to ensure a reliable, production-ready codebase.
- Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
- Fix issues during testing phases to ensure error-free, clean releases.
Your contribution to the team:
A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
- Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
- Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
- Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
- Support the team to foster a robust technical environment and ensure error-free coding.
- Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
- Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
- Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
- Support in implementation of technical services to meet quality service (QoS) requirements
- Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
- Interface with customers during warranty support to ensure issues are fixed in a timely manner.
- Address technical issues during testing to ensure a reliable, production-ready codebase.
- Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
- Fix issues during testing phases to ensure error-free, clean releases.
Your contribution to the team:
A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
See All 80 AI Engineer Jobs in Charlotte
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Find AI Engineer JobsAI Engineer Job Market in Charlotte
Who's Hiring
- Infosys11
- The Hartford9
- NTT DATA6
- Capgemini6
- Bank of America6
Top Industries Hiring
- Technology & Software11
- Banking & Financial Services4
- Consulting & Professional Services4
AI Engineer Jobs in Charlotte: Frequently Asked Questions
How do I get a ai engineer job in Charlotte?
Focus your search on Charlotte's fintech and banking technology sector, healthcare systems, and the growing cluster of enterprise software firms in South End and Uptown. Candidates with hands-on experience in machine learning pipelines, large language models, or MLOps tooling stand out locally. Networking through Charlotte's tech meetup community and targeting mid-size financial services firms that are actively building AI capabilities gives you a real edge over applicants applying nationally.
Which companies hire ai engineers in Charlotte?
Employers hiring ai engineers in Charlotte right now include Infosys, The Hartford, and NTT DATA, based on current listings on Migrate Mate as of September 2026. Charlotte's hiring base skews toward large financial institutions, regional healthcare networks, and the technology vendors and consultancies that serve them.
Are there remote ai engineer jobs in Charlotte?
Yes, ai engineering is among the more remote-compatible technical roles, since the core work involves code, models, and data rather than physical presence. About 94% of ai engineer openings tied to Charlotte are remote or hybrid as of September 2026, reflecting broad employer flexibility in this discipline. Model development and research roles tend to be the most fully remote, while roles that require direct collaboration with Charlotte-based data teams or business units are more likely to be hybrid.
How can I get a ai engineer job in Charlotte with little or no experience?
The most realistic entry path in Charlotte is through data analyst or machine learning engineer associate roles at the city's large financial services employers, which often run structured rotational or early-career programs. Community college and UNC Charlotte certificate programs in data science and applied AI have local employer recognition. Contributing to open-source projects, building a portfolio on public repositories, and targeting Charlotte-based technology consultancies that staff junior AI talent on client engagements are all concrete ways to get a first role.
Which industries hire the most ai engineers in Charlotte?
Most ai engineer openings in Charlotte sit in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, per current listings on Migrate Mate as of September 2026. Charlotte's identity as a major U.S. banking and financial services hub drives outsized demand for AI talent focused on risk modeling, fraud detection, and customer intelligence, while the region's large hospital networks and health tech firms add a steady healthcare AI hiring layer.
Related Jobs in North Carolina
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