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 The Hartford, Lowe's Home Improvement, and Truist. Scan the live roles below and apply to whichever ones fit.
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- Develop data preparation tasks, while identifying patterns or anomalies.
- Ensure data readiness for advanced modeling.
- Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
- Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
- Design and develop predictive models and data-driven analyses to address business challenges.
- Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
- Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
- Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
- Proactively maintain models and implement improvements for accuracy and reliability.
- Apply governance controls to mitigate risks and ensure compliance.
- Analyze performance trends, recommend improvements, and document discrepancies for escalation.
- Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
- Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
- Apply the predefined quality measurement framework at an individual task level in the project.
- Deploy complex analytics tools or multi-system integration, while validating deployment success.
- Participate in developing scripts or templates for repeated deployments tasks.
- Contribute to analytic solutions, IP asset creation, and training initiatives.
- Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
- Participate in and deliver analytics training, while contributing to content creation.
- Provide input for segment and unit-level business plans.
Your contribution to the team:
- Deliver scalable, high-quality analytics solutions aligned to business needs.
- A knack for optimization, deployment and performance improvement of models.
- The ability to drive innovation through advanced analytics, automation and thought leadership.
- Enable team growth through knowledge sharing, training and standardization.
- Support business planning with data-driven insights.
- Develop data preparation tasks, while identifying patterns or anomalies.
- Ensure data readiness for advanced modeling.
- Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
- Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
- Design and develop predictive models and data-driven analyses to address business challenges.
- Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
- Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
- Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
- Proactively maintain models and implement improvements for accuracy and reliability.
- Apply governance controls to mitigate risks and ensure compliance.
- Analyze performance trends, recommend improvements, and document discrepancies for escalation.
- Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
- Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
- Apply the predefined quality measurement framework at an individual task level in the project.
- Deploy complex analytics tools or multi-system integration, while validating deployment success.
- Participate in developing scripts or templates for repeated deployments tasks.
- Contribute to analytic solutions, IP asset creation, and training initiatives.
- Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
- Participate in and deliver analytics training, while contributing to content creation.
- Provide input for segment and unit-level business plans.
Your contribution to the team:
- Deliver scalable, high-quality analytics solutions aligned to business needs.
- A knack for optimization, deployment and performance improvement of models.
- The ability to drive innovation through advanced analytics, automation and thought leadership.
- Enable team growth through knowledge sharing, training and standardization.
- Support business planning with data-driven insights.
See All 91 AI Engineer Jobs in Charlotte
Find roles in Charlotte that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Job Market in Charlotte
Who's Hiring
- The Hartford10
- Lowe's Home Improvement10
- Truist6
- Infosys6
- Cognizant6
Top Industries Hiring
- Technology & Software10
- Banking & Financial Services8
- Insurance6
- Consulting & Professional Services6
- Retail2
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 The Hartford, Lowe's Home Improvement, and Truist, based on current listings on Migrate Mate as of August 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 70% of ai engineer openings tied to Charlotte are remote or hybrid as of August 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 Insurance, per current listings on Migrate Mate as of August 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
See All 91 AI Engineer Jobs in Charlotte
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