Artificial Intelligence Jobs in Frisco, TX

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.

Leads the architecture, development, evaluation, deployment, and scaling of enterprise AI systems, including RAG pipelines, autonomous agents, and LLM-powered applications. Establishes AI engineering standards, guides technical strategy, evaluates emerging techniques, and partners with research, product, design, and executive teams. Drives proof-of-concept initiatives into production, mentors engineers, supports AI product strategy, and represents the organization through technical leadership and industry engagement.

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.

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.

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.

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.

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.

Owns the build, hardening, patching, configuration, and lifecycle management of enterprise operating-system and platform infrastructure. Leads major incidents, root-cause analysis, change control, service improvement, and technical escalations. Identifies and scales AI and automation for incident triage, runbook execution, predictive monitoring, and reduced MTTR. Provides solution designs, implementation plans, standards, documentation, stakeholder influence, team mentoring, vendor coordination, and AI governance.

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.

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.