Artificial Intelligence Jobs in Frisco, TX

Leads SOC and incident response process improvement, automation, analytics, and responsible AI adoption. Designs and documents threat response workflows, builds SOAR and AI integrations, governs use cases, develops reporting, and trains teams. Partners cross-functionally to deliver cybersecurity initiatives, improve response speed, reduce manual effort, and strengthen threat response capabilities.

Serves as the liaison between the business unit and AI Center of Excellence. Manages AI use-case intake, prioritization, governance, compliance, vendor and platform evaluations, proof-of-concept pilots, and financial stewardship. Translates business needs and technical AI capabilities, maintains model inventories, supports responsible AI and risk assessments, and drives adoption through enablement, training, change management, and AI literacy initiatives.

Owns T-Mobile’s enterprise AI enablement product, including the roadmap, backlog, curriculum, learning paths, rollout communications, and champion network. The role improves employee adoption of GenAI tools and agents by creating technical and non-technical learning experiences, measuring usage and effectiveness, gathering feedback, and continuously refining content. It partners with HR Learning and Development while managing AI-specific enablement strategy and delivery.

Two-year rotational program supporting Experience Design, Product Management, and CX Strategy and Transformation. Associates analyze client behavior, track KPIs, conduct research and competitive analysis, map customer journeys, create designs and prototypes, identify friction, and develop AI-enabled experience improvements. The role includes cross-business rotations, senior leadership exposure, mentorship, and hands-on work with financial services technology platforms.

Manages strategic relationships with enterprise managed service providers across North America. Develops partner business plans, drives practice growth, creates go-to-market strategies, identifies innovation opportunities, generates sourced demand, and supports subscription revenue growth. Oversees delivery quality, escalations, performance targets, account mapping, and partner pipeline development while collaborating with sales, services, and partner leadership teams.

Implement and optimize AI Operations and observability capabilities for event correlation, anomaly detection, alert-noise reduction, incident response automation, and operational analytics. Configure monitoring and ITSM integrations, develop automated remediation workflows, evaluate AI/ML operational use cases, and support SRE and service-management teams. The role also provides technical guidance, documents best practices, and assesses emerging AIOps technologies and platform enhancements.

Drive enterprise sales of Workday’s Contract Lifecycle Management platform, managing complex sales cycles from prospecting through contract close. Build relationships with CPOs, CIOs, Legal Operations, and General Counsel stakeholders; articulate Source-to-Pay value; develop ROI business cases; create territory and pipeline strategies; and consistently exceed $1M+ annual ACV quotas using structured enterprise sales methodologies.

The Acquisition Sales Specialist sells CoCounsel solutions to new law firms by meeting sales targets through outbound prospecting, managing leads, and utilizing Salesforce for tracking interactions and sales forecasting.

Leads the production implementation of marketing AI strategy by architecting, building, governing, and scaling AI skills, agents, and end-to-end workflows. Manages AI engineers while remaining hands-on, coordinates engineering and data science dependencies, establishes compliance and quality standards, and ensures portability, monitoring, cost control, and measurable business outcomes. The role requires production AI application expertise, strong data or software engineering foundations, platform-building experience, and cross-functional leadership.

Designs and delivers GenAI training focused on workflow integration, use-case identification, responsible use, and tool adoption. Conducts needs analyses, develops curricula and job aids, collaborates on change management, measures learning outcomes, and continuously improves content. Delivers frequent virtual training sessions using communication platforms, coordinates with partners, reports learner feedback, supports internal tools, and may travel for onsite instruction.

Build and deliver production backend, platform, and AI capabilities using C#/.NET and Python. Develop distributed systems, LLM applications, AI agents, retrieval workflows, MCP servers, document understanding, and scalable AI infrastructure. Provide hands-on Staff-level technical leadership through architecture, coding, technical direction, mentoring, deployment, reliability, safety controls, and production operations.

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 backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

Leads the design, implementation, and production deployment of AI-powered solutions across technology teams. Responsibilities include architecture, LLM and agent workflow development, observability, telemetry, evaluation frameworks, guardrails, governance, reliability, cloud integration, and operational readiness. The role evaluates AI technologies, defines reusable patterns, partners with engineering and business stakeholders, supports scalable AI infrastructure, communicates technical decisions, and mentors engineers.

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.

Lead design and implementation of enterprise-scale AI systems including RAG architectures and autonomous agents; lead full-stack development across AI orchestration, APIs, microservices and web UIs; set technical strategy, mentor engineers, champion MLOps/LLMOps, ensure security/ethical compliance, and collaborate cross-functionally to deliver scalable AI products.

Lead enterprise network security architecture, governance modernization, and cybersecurity strategy across on-premises, hybrid, and multi-cloud environments. Design automated governance capabilities using Policy-as-Code, Process-as-Code, workflow optimization, and AI-assisted security analysis. Establish measurable methods for evaluating controls, policy compliance, risk, and governance maturity while influencing executives, architects, engineers, and business stakeholders. The role is fully onsite Monday through Friday and requires approximately 10% travel.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Leads the design and development of cloud-native platforms supporting generative AI agents. Responsibilities include building backend services, developer enablement tools, CI/CD pipelines, Kubernetes and multi-cloud infrastructure, platform security, observability, DORA metrics, and production engineering practices. The role requires mentoring, architectural leadership, cross-functional collaboration, and expertise in cloud-native systems, networking, infrastructure as code, and systems programming.

Leads Thomson Reuters’ Forward Deployed Solutions professional services function, managing senior teams supporting AI-enabled Legal and Tax customer engagements. Owns operating model, capacity planning, financial performance, delivery governance, customer outcomes, escalations, and portfolio reporting. Partners with Sales, Product, Engineering, Finance, and Customer Success to shape complex engagements, improve repeatability, convert customer work into reusable solutions, and inform product roadmaps. Coaches leaders, manages services economics, and ensures responsible, secure, high-quality AI solution delivery.

Defines and drives enterprise architecture strategy for Agentic AI, Generative AI, machine learning, and AI data platforms. Establishes architecture standards, reference architectures, adoption roadmaps, and governance frameworks; aligns AI initiatives with business capabilities and enterprise standards; modernizes legacy architecture; presents initiatives to executives; and researches emerging AI technologies. The role requires extensive architecture and IT strategy experience, transformation leadership, AI architecture expertise, and cloud certification.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.

Build and productionize AI-powered backend services for CoCounsel International using Python, FastAPI, PostgreSQL, AWS, and modern LLM providers. Design scalable platform architecture, agentic workflows, orchestration, routing, guardrails, telemetry, and observability. Collaborate with Labs, product, and design teams to turn early AI concepts into reliable customer-facing features, while mentoring engineers and supporting performance optimization and operational robustness.

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.