Artificial Intelligence Jobs in Frisco, TX

Lead strategic and operational functions for fraud and disputes operations. Oversee compliance, team development, process improvement, and manage vendor relationships.

Seeking a Senior Data Engineer for the Risk Data Team to lead technical discussions, build scalable data systems, and ensure data quality. The role requires deep production data engineering expertise and people leadership skills.

As a Senior Technical Integration Consultant, you'll lead HCM integration projects, architect technical solutions, and ensure effective AI implementation, guiding stakeholders and mentoring junior consultants.

As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

Design, build, and deploy production-grade generative AI features (RAG, embeddings, vector search, agents) for healthcare applications. Implement backend APIs, integrate AI into front-end interfaces, ensure HIPAA-compliant data handling, and establish evaluation, monitoring, and guardrails for safe, reliable AI in clinical and member-facing systems.

Drive the market success of Workday's Platform products, engage C-Suite executives, and lead enterprise software sales cycles focusing on platform technology and AI.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

Design, build, and scale the core execution engine for agentic AI across text and voice channels. Architect microservices, workflow engines, and integrations connecting LLM reasoning to network, billing, account, and support systems. Ensure high availability, safe model-driven actions, test and document systems, collaborate with AI/ML and product teams, and mentor engineers.

Lead the design and delivery of AI platforms and scalable software systems, ensuring reliability and security of AI-driven capabilities.

The Sr. AI Engineer will develop AI systems to optimize customer interactions, utilize advanced AI techniques, collaborate with cross-functional teams, and implement AI tools for real-time decision-making.

The Principal AI Engineer leads the development of T-Mobile's AI systems, focusing on optimizing decision-making for customer interactions, integrating APIs, and enhancing customer experiences through advanced AI techniques.

The AI Business Operations Lead at McAfee will drive AI adoption, manage the GenAI roadmap, and ensure measurable business value from AI investments. Responsibilities include overseeing technical project management, coordinating cross-functional dependencies, and delivering reports on AI initiatives. The ideal candidate should have 8+ years in business operations or program management with a focus on technology or AI, excellent communication skills, and project management expertise.

Lead the engineering team to deliver AI solutions, manage projects, and mentor engineers while fostering innovation and collaboration.

The Senior Platform Engineer will design cloud-native infrastructure, drive AI systems, and enhance developer workflows while collaborating across teams.

Lead design and build of scalable Databricks-based data pipelines and AI solutions for eCommerce. Develop near-real-time dashboards, automated data quality, anomaly detection and churn models, LLM integrations and AI agents, CI/CD for ML, cost/governance tooling, and operational monitoring to improve reliability and engineering productivity.

As a Lead Research Engineer, you will lead technical teams in developing and improving AI methodologies, applying modern software development practices to deliver high-quality solutions, while mentoring engineers in a collaborative environment.

The Senior Engineer for Enterprise AI Services will design and operate observability capabilities for AI systems, ensuring reliability and continuous improvement across a multi-cloud environment while collaborating with various teams.

The Specialized Customer Success Manager for Talent AI guides customers through AI integration in Talent Acquisition, ensuring adoption, value realization, and collaboration across teams.

Lead the architecture and deployment of small language models for consumer security, optimizing performance on user devices while mentoring engineers and setting technical direction.

This role involves architecting, building, and deploying AI systems, integrating Generative AI with traditional ML, and developing scalable solutions.

Lead architecture and delivery of production-grade generative AI systems (RAG, agent orchestration, multi-model integrations), define prompt and evaluation standards, ensure observability, compliance (HIPAA/FDA), scalable data ingestion, mentor engineers, and partner with platform and product teams to deploy responsible AI at enterprise scale.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

Engage with customers in legal AI solutions to drive adoption and value, establish strategic relationships, and enhance satisfaction while managing customer success plans.

As a Customer Success Manager, engage with customers to develop strategies for successful adoption of Thomson Reuters' legal AI solutions, enhance satisfaction, and advocate for customer needs.