Artificial Intelligence Jobs in Frisco, TX

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.

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.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Embed with B2B customers to design and build end-to-end commercial AI solutions on T-Mobiles cellular and edge platform. Prototype and integrate data/ML pipelines, containerized edge deployments, and third-party ISV software. Translate ambiguous use cases into deployable architectures meeting latency, accuracy, reliability, and cost targets; drive pilots to production, create reusable reference architectures, and provide technical leadership to field teams.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Lead and coach AI engineering teams to partner with business stakeholders, scope and deliver production-ready LLM/agent/coplilot solutions. Define safe experimentation, governance, evaluation, observability, and reusable assets while coordinating risk, compliance, security, and operations in a regulated banking environment.

As a Senior Product Owner for Agentic AI, you will govern the Agile backlog, ensure disciplined execution, and prioritize user stories for high-quality AI product delivery, collaborating with stakeholders and enhancing team capabilities.

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 architecture for CenterWell programs, define reference architectures, govern solution designs, enable AI/ML (agentic) integrations across cloud/data platforms, ensure compliance and delivery readiness, and collaborate with product, engineering, security, and executive stakeholders.

Design, build, and optimize agentic AI systems (ANBA) for real-time customer decisioning using prompt engineering, fine-tuning, RAG, and tool-integrated reasoning. Develop APIs, AI workflows, orchestration, and observability; collaborate cross-functionally to integrate models into production and improve customer outcomes.

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 Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead AI Risk Advisor leads AI governance and risk initiatives, conducting cross-functional risk reviews, designing KRIs and monitoring (drift, bias, HITL), partnering with Technology/Cybersecurity/Data Governance/Model Risk, authoring executive summaries, mentoring junior staff, and driving control automation and regulatory/audit readiness.

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.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

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

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

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

Architect and implement production AI/ML systems with emphasis on generative AI and agentic systems. Conduct data analysis, design experiments, build evaluation frameworks, integrate models into products, ensure compliance, and guide enterprise AI standards and best practices.

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.