26 Machine Learning & AI Jobs in Charlotte, NC, United States

Role highlights

• Preferred Qualifications Experience with hybrid cloud AI solutions (on-prem + cloud).
• Monitoring & Optimization: Troubleshoot and optimize AI-based workflows for performance and reliability.

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• Develop and deploy production-grade ML models and data pipelines.
• This is a unique opportunity to be hands-on, developing and maintaining production-grade solutions while influencing the long-term vision a…

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• Passionate about applying traditional machine learning and modern Generative AI techniques to solve complex business challenges.
• Experience with large language models (LLMs), prompt engineering, or AI-assisted analytics.

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• About You Senior AI Engineer The Senior AI Engineer supports the adoption and effective use of generative AI across the…
• Provide hands-on support to internal users, helping troubleshoot issues and improve overall user experience with AI-enabled tools.

Role highlights

• In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation…
• About the Role We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI…

Role highlights

• As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our…
• Hearst Television (HTV) is hiring a Senior Copilot & Azure AI Foundry Engineer to lead the build of our next-generation…

Role highlights

• You will be the definitive voice on program goals and prioritization across boundaries, orchestrate complex AI initiatives that span organi…
• 15+ years in technical program or product management with a strong record of principal-level AI/ML program ownership.

Role highlights

• Troubleshoot infrastructure, data, and deployment issues.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.

Role highlights

• Role Objectives Operationalize the AI Platform: Design and operate the MLOps/LLMOps backbone for the AI platform on Databricks and Azure…
• 5+ years of hands-on experience deploying, operating, and maintaining GenAI or advanced ML models in production environments, with a strong…

Role highlights

• As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our…
• MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.

Role highlights

• As an Applied AI / Evaluation Engineer, you will own the quality, measurement, and behavioral assurance of the NAVEX AI…
• You will build and operate evaluation harnesses, quality gating mechanisms, and human-in-the-loop tooling that ensure AI behavior is safe,…

Role highlights

• Technical Leadership Lead design and architecture of large-scale AI platform components.
• The ideal candidate is a strong backend/platform engineer with deep experience in building scalable systems and modern AI-powered retrieval…

Role highlights

• Skills and Competencies 5+ years in a technical role such as a systems or software engineer, technical business systems analyst…
• Education Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field preferred Responsibilities Drive the cr…

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• Strong AI engineering skills spanning model integration, prompt engineering, orchestration frameworks, evaluation, and productionizing AI s…
• Key Responsibilities and Duties ​ Design, develop, and deploy production-grade AI solutions—including generative AI and agentic AI systems—…

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• Team Leadership & Talent Development: Lead and mentor a team of AI professionals, including data scientists, AI engineers, and consultants,…
• Expertise in AI/ML models, algorithms, data engineering, and cloud-based AI solutions.

Role highlights

• Hands‑on with Vertex AI (Foundational models, Endpoints, Pipelines, Vector Search, Model Garden; IAM & service architectures).
• Solid cloud experience (GCP preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.

Role highlights

• Senior AI Implementation Lead Become a part of our caring community The Senior Technology Implementation Professional delivers new AI techn…
• The Senior Technology Implementation Professional gathers and documents business system and functional requirements, influences system desi…

Role highlights

• Technical leadership and team building: Mentor and uplift broader engineering teams on MLOps/LLMOps best practices, establish the AI-Ops di…
• Experience mentoring engineers, with the ability and appetite to build and lead a dedicated AI-Ops team as the function grows.

Role highlights

• Role Purpose As a Senior AI Implementation Analyst, you will serve as a hands-on AI builder and enablement specialist within…
• You will work closely with market intelligence teammates, competitive intelligence practitioners, data scientists, and business stakeholder…

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• Lead the design, training, fine-tuning, deployment, and lifecycle management of machine learning and generative AI models.
• Strong experience designing and deploying end-to-end AI solutions, including machine learning, generative AI, and LLM-based applications.

Role highlights

• Develop and productionize advanced machine learning and causal models that drive strategic decisions.
• Mentor Associate data scientists and review analyses for methodological soundness.

Role highlights

• As an Associate, AI Product Manager, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value…
• We are looking for 1+ years of hands-on data science / advanced analytics experience or product management on an AI/ML…

Role highlights

• The Insider Risk AI Engineer supports the design, development, and deployment of AI-enabled solutions that improve security operations and…
• Preferred Qualifications (expanded to include cybersecurity-aligned experience) Experience with GenAI application development patterns: RAG…