Artificial Intelligence Jobs in Frisco, TX

Sell risk and fraud software to small and mid-size corporate accounts in the Boston/NH territory. Prospect new business, execute account plans, manage the full sales cycle from outreach to renewal, maintain Salesforce CRM, engage C-level stakeholders, collaborate cross-functionally, and meet revenue targets while supporting in-person and virtual client meetings.

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.

Lead strategy, design, and delivery for T-Mobiles network-native AI products. Own product experience, define trust and interaction paradigms, run research and testing, translate requirements into engineering stories, mentor teams, ensure accessibility and platform reusability, and drive adoption and commercial outcomes across multi-surface products.

Lead an enterprise team owning GenAI platforms, gateway, models, cost, reliability, and self-service AI chat agents for Tier 1 IT/HR. Define platform strategy, operate agent portfolio, ensure security and cost controls, partner cross-functionally, mentor staff, and present results to executives.

Lead a team that builds a frictionless enterprise AI intake, enablement, and governance experience. Design self-service standards, streamline routing and adoption, remove blockers, form cross-functional partnerships, mentor staff, and present executive-level findings to accelerate safe AI deployment across the company.

As a Senior AI Solutions Engineer, you will build and maintain AI agents, design workflows, and ensure compliance with data standards, collaborating across teams.

Lead a hands-on AI engineering team to design, build, version, and govern AI skills and agents powering end-to-end marketing workflows. Architect production-grade, compliant, portable capabilities; manage cross-functional dependencies; enforce quality, monitoring, cost controls, and legal/privacy/accessibility guardrails; and measure business outcomes and adoption.

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

Lead worldwide go-to-market programs for HPC-AI, designing and executing multi-product GTM plans, partner sales plays with GPU vendors, demand generation, and sales enablement. Drive cross-BU alignment, market analysis, and large cross-functional initiatives to translate business plans into measurable financial outcomes.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

Design, build, and operate production AI agent systems using modern LLM APIs and agent SDKs. Own end-to-end architectures, integrations, observability, progressive delivery, and reliability. Mentor engineers, participate in technical design reviews, and collaborate with product peers to deliver scalable, stable legal AI agent tooling.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

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.

The Senior Engineer, Enterprise AI designs and develops AI applications that enhance productivity and decision-making across T-Mobile's enterprise, utilizing various AI frameworks and collaborating with cross-functional teams.

As a Senior Software Engineer - AI (Legal), you will design and implement AI solutions for legal workflows, translating legal needs into technical specifications, and mentoring junior engineers at Thomson Reuters.

Design, build, and integrate LLM/Generative AI capabilities into enterprise applications. Evaluate models and platforms, implement RAG/embeddings/vector search, build APIs, develop proofs-of-concept and production solutions, ensure secure/responsible AI, and collaborate with stakeholders to translate business needs into scalable AI systems.

The Lead AI Forward Engineer designs AI solutions, guiding implementations for scalability and compliance, while mentoring teams and shaping technology strategy.

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.

Design and deliver production agent runtimes and multi-agent frameworks (policy execution, planners, state/memory, tool-routing). Implement reasoning loops (ReAct, CoT, ToT), safety controls, deterministic tool‑chaining, observability/evaluation pipelines, and scale platforms on Kubernetes. Mentor engineers, define SLOs and telemetry, integrate RAG/graph memory, and collaborate with product, data, and backend teams while ensuring compliance and PII‑minimization.

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.

Lead design and delivery of scalable, secure AI/GenAI applications: gather requirements, architect LLM-driven solutions (RAG, vector DBs, prompt engineering), build resilient microservices and pipelines, ensure Responsible AI and healthcare compliance, coordinate testing and production readiness, and lead cross-functional teams and vendors to achieve business value.

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.