Artificial Intelligence Jobs in Frisco, TX

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.

Lead global partner enablement strategy and execution across system integrators, ISVs, and referral partners. Design scalable learning journeys, certifications, sales tools, battle cards, communications, and AI-driven learning experiences. Own partner readiness for product launches, measure program ROI, advise senior leadership, and streamline communications to improve partner ramp time, readiness, and revenue performance.

Leads regional technical sales efforts by partnering with sales and channel teams to develop and win opportunities. Conducts discovery, translates business needs into technical and vendor strategies, coordinates specialist resources, maintains campaign momentum, and feeds market intelligence to Engineering. Requires broad working knowledge across multiple technology categories and strong communication, storytelling, relationship-building, and sales execution skills.

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.

Drives cybersecurity initiatives across Security Operations Center and Incident Response teams, tracking technical execution through completion. Identifies and mitigates risks, blockers, and dependencies; maintains the threat response roadmap; coordinates people, processes, and technologies; and communicates progress with IT and business stakeholders. The role supports security strategy, automation, incident escalation, detection engineering, and remediation efforts.

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.

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.

Leads an AI-first product operations office across Thomson Reuters’ TAAP portfolio. The role automates coordination, dependency tracking, reporting, and communications; advances AI maturity through shared infrastructure, agentic workflows, playbooks, and modern product development practices; and drives organization-wide change. Responsibilities include managing a senior product operations team, enabling product managers, coordinating cross-functional commitments, supporting customer migrations, establishing business metrics, and leading communications and cultural transformation across product, engineering, design, and customer success.

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.

The Senior Software Engineer - AI will design and implement AI solutions for legal workflows, ensure robust system architecture, collaborate with clients, and evaluate new AI techniques. Responsibilities include developing workflows and improving system observability.

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.

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.

Leads technical architecture and solution design for complex cloud, AI, data center, hyperscale, and WAN networking sales opportunities. Translates customer requirements into scalable solutions, leads demos and proof-of-concepts, prepares RFP responses, and engages senior stakeholders. The role develops architecture playbooks, mentors sales engineering teams, influences deal strategy, and partners with customers, hyperscalers, service providers, and technology partners globally. Travel of up to 50%, including international travel, is required.

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.

Design, build, and maintain batch and streaming data pipelines on GCP (BigQuery, dbt, Airflow, Pub/Sub). Productionize ML workflows (training, inference, CI/CD) using Cloud Run, GKE, and Vertex AI. Support real-time inference, RAG/LLM assistants, graph-based recommendations, and model monitoring. Collaborate with cross-functional teams to deliver scalable, reliable data products and observability for downstream ML and analytics.

Own AI cost visibility and optimization: design showback/chargeback and cost-optimization models for GenAI/LLMs, manage enterprise license and seat programs, monitor/analyze spend, flag anomalies, feed dashboards and reporting, and partner with engineering and finance to reclaim unused spend and ensure accurate cost attribution.

Lead architecture and delivery of production AI agent systems: design agent infrastructure, observability, evaluation, progressive rollout, and reliability. Provide hands-on technical leadership, mentor senior engineers, drive RFCs/ADRs, and partner with product to sequence strategic platform work.

Design, build, and deploy production-grade LLM agents, RAG systems, voice/image AI, and automation workflows. Implement TTS/STT and generative image models, develop full-stack APIs/microservices, optimize performance, and ensure security/compliance while collaborating with product and operations teams.

Design and build backend services (Python/FastAPI/Postgres/AWS) for agentic AI features, integrate LLM providers, productionize orchestration, telemetry and observability, collaborate with Labs and product teams, and mentor engineers to deliver scalable solutions for legal professionals.

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 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 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.

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.

Build and ship enterprise AI software using RAG, LLMs, autonomous agents, and full-stack web technologies. Develop AI orchestration, APIs, microservices, gateways, and user interfaces while supporting MLOps and LLMOps. Evaluate emerging AI techniques, implement testing and observability, optimize performance, and follow security, ethical AI, and regulatory requirements. Collaborate with researchers, product, design, and engineering teams, contribute to architecture decisions, mentor engineers, and scale AI capabilities into production.

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.