Top Artificial Intelligence Jobs in Charlotte, NC

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

The Field Marketing Scaled Programs Manager will design and optimize scalable marketing programs, analyze data for performance insights, and manage cross-functional collaboration and reporting.

As an Automation Engineer, you will lead industrial automation projects, troubleshoot issues, support various automation systems, and collaborate with cross-functional teams to enhance operational efficiency.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Seeking a Senior/Staff Platform Engineer to enhance developer experience, manage infrastructure, and ensure security compliance in a healthcare tech startup.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

Drive enterprise sales by identifying and closing deals with restaurant operators, managing complex sales cycles, and building executive relationships.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

Manage end-to-end paid YouTube ad campaigns, overseeing setup, optimization, client communication, and performance reporting to ensure campaign success.

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.

The Partnership Marketing Manager will collaborate with sales and internal teams to create tailored marketing solutions, deliver client proposals, and develop sales collateral while leveraging programmatic advertising knowledge and managing multiple projects effectively.

The Full-Stack Software Engineer will enhance user interfaces, APIs, and develop features for AI applications while collaborating with teams and ensuring code quality.

The Pre-Sales Solution Engineer collaborates with sales teams to understand customer needs, demonstrate TrakSYS solutions, and ensure technical feasibility through PoCs and tailored implementations.