Top AI & Machine Learning Jobs in Charlotte, NC

Lead the design and implementation of data architecture strategies within AI and ML, collaborating with stakeholders to enhance data solutions and ensure compliance with governance policies.

Lead deal-strategy engagements across M&A, divestitures, and restructuring. Analyze markets, build financial models, identify risks/opportunities, design value-creation strategies, manage projects, and mentor teams while leveraging technology and innovation to drive client outcomes.

Lead delivery of AI-driven property & casualty insurance operations solutions: analyze client needs, design and implement software and AI architectures, manage projects and teams, coach staff, run training, ensure adoption, and drive process innovation while maintaining governance and standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.