Artificial Intelligence Jobs in Frisco, TX

As a Senior AI Engineer, you will architect AI systems for marketing, build generative pipelines, and ensure compliance with privacy standards, all while leading MLOps processes.

Support enterprise AI and analytics projects, translate business questions into analyses, collaborate with stakeholders, and prepare executive deliverables.

As an Automation & AI Technology Experience Intern, you will analyze technology processes, implement automation solutions, and enhance service delivery through self-service initiatives.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Lead AI capability strategy and implementation for Salesforce (SFDC). Translate business needs into AI-enabled requirements, design and deliver solutions, run POCs, establish governance, assess vendors, ensure secure scalable integrations, and align cross-functional stakeholders to drive AI-enabled sales productivity and user experience.

The Lead Software Engineer, AI will design and implement AI-driven systems, mentor engineers, drive technical strategy, and ensure compliance with quality and ethical standards.

Design, build, and lead cloud-native platform infrastructure powering generative AI agents. Deliver CI/CD reference pipelines, Go CLI tools, scalable Kubernetes/AWS/GCP production systems, platform security, monitoring/observability, and developer enablement to support large product teams.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

As a Principal Engineer, you will lead AI-driven backend systems for audit products, ensuring scalable, reliable workflows while mentoring teams and influencing technical direction.

The Lead AI Enterprise Data Engineer will architect scalable data platforms, develop AI solutions, and create real-time dashboards, while overseeing AI model deployment and integration with existing systems.

Lead design and delivery of enterprise-scale AI/GenAI platforms and Databricks architectures across major cloud providers. Drive technical strategy, client discovery, reference architectures (data pipelines, feature stores, model training, vector DBs, real-time inference), mentor teams, define responsible-AI and security best practices, and represent the firm externally.