Artificial Intelligence Jobs in Cary, NC

The Sectors & Clients Manager drives strategic growth initiatives, identifies client opportunities, develops marketing campaigns, and supports internal collaboration. They enhance sector presence and monitor growth with analytics.

As a Founding Engineer, you'll develop a unified AI-powered search platform for law enforcement, focusing on user workflows and system integration.

The AI and Data Engineer will design, build, and maintain AI solutions on cloud services, integrating with data sources and developing chatbots, while ensuring secure and efficient cloud infrastructure management.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The AI Solution Architect at EisnerAmper leads the design and implementation of AI solutions, working with clients to develop tailored strategies for various industries. They ensure integration of AI systems and adhere to responsible AI practices.

Responsible for developing marketing strategies for a legal AI platform, executing marketing campaigns, collaborating with sales, and optimizing performance based on data analytics.

The Director of Sales & Growth will drive sales growth of Microsoft Fabric and Azure solutions, cultivate key client relationships, and manage sales processes to expand CloudMoyo's portfolio in the South Region.

The Solutions Engineer will design innovative solutions for enterprise clients, act as a technical advisor during sales cycles, and facilitate implementation and knowledge transfer.

The Senior Account Executive will drive sales for Genesys AI portfolio, partnering with account teams, developing strategies, and engaging with public sector clients to enhance customer experiences.

Develop and integrate AI products using RHEL, Kubernetes, and Red Hat OpenShift, collaborating with partners and optimizing AI workloads with hardware accelerators.

The Solutions Engineer will design and present innovative SaaS solutions, guiding sales teams and clients through technical evaluations and implementations while leveraging API features.

As an MLOps Engineer, you will scale machine learning products, manage training and deployment pipelines, and improve DevOps processes.

Join Bandwidth's R&D team as an AI/ML Engineer to develop innovative AI-powered solutions, with a focus on Large Language Models. Responsibilities include designing models, collaborating with a team, and experimenting with new AI techniques.

The role involves engineering solutions for GPU clusters, reducing operational disruptions, and empowering researchers in ML model training and deployment.