Top Artificial Intelligence Jobs in Charlotte, NC

Design and implement Epic payer platform IT solutions, perform complex data analysis and data mining/modeling, manage IT infrastructure alignment, mentor junior staff, and build client relationships to support operations transformation.

Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.

Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

The Lead Partner Marketing Manager will develop and execute marketing strategies for partnerships, manage relationships with key technology allies, and oversee partner marketing initiatives at Dynatrace.

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.

Lead Enterprise Customer Success to drive adoption, retention, expansion, and advocacy. Build and scale a high-performing CS organization, operationalize AI-driven workflows, strengthen executive relationships, improve customer health and forecasting, and influence product roadmap through customer insights.

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

The Director of Tax will establish the tax function, manage compliance, oversee audits, and develop international tax strategies while utilizing AI tools and building a team.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

As a Security Engineer, you will conduct security assessments, develop security tools, perform architecture reviews, and collaborate on advanced security research.

Lead product marketing for Liftoff's adtech portfolio: define positioning, create sales enablement and campaigns, lead GTM launches, drive market intelligence, and translate technical features into compelling content while partnering cross-functionally across regions.

Design, prototype, and productionize GenAI systems that generate end-to-end ad creatives (including interactive playables). Build robust pipelines, guardrails, and evaluation infrastructure (human-in-the-loop, A/B testing). Partner with creative and product teams, research new model capabilities, and mentor engineers to raise engineering and AI standards.

Lead development and execution of global pricing and packaging strategies for Apollo.io. Collaborate with Product, Sales, and Finance to build usage-based and PLG-aligned monetization models, partner with external consultants, and create business cases to drive revenue and profitability across product lines.

The role involves supporting agents with estate and business planning, designing custom cases, presenting advanced concepts, and creating content for training. Requires extensive experience in advanced market planning and knowledge of life insurance products.

As a Security Engineer, safeguard Runpod's GPU cloud platform, conduct security assessments, implement fixes, and foster a security-first culture with development teams.

Design and maintain cloud infrastructure software using Go, collaborate on product requirements, troubleshoot code, and contribute to architectural decisions.

Lead the storage engineering team at Runpod, focusing on distributed storage infrastructure, including SAN and NFS systems for AI workloads. Manage performance, reliability, and scalability while collaborating cross-functionally. Drive innovation in storage technologies and oversee operational excellence.