Artificial Intelligence Jobs in Irving, TX

Manage key airport and airline accounts across North America through consultative B2B sales. Responsibilities include acquiring and renewing business, achieving revenue targets, executing account plans and sales campaigns, presenting data and software solutions, developing customer relationships, coordinating customized solutions with internal teams, monitoring aviation industry trends, and supporting industry network development. The role requires hybrid office attendance three days weekly and travel to client meetings and conferences as needed.

Senior Product Manager responsible for developing and scaling products serving General Counsels, Chief Audit Executives, and compliance and risk teams. The role includes gathering client and market insights, defining product strategy and roadmaps, launching and evaluating offerings, analyzing performance, driving adoption and retention, supporting go-to-market efforts, and collaborating with sales, engineering, research, and other cross-functional teams.

Leads enterprise growth-opportunity identification, assessment, prioritization, and handoff within Vizient’s strategic market research function. Evaluates organic, adjacent, partnership, acquisition, and cross-business-unit opportunities using market research, competitive intelligence, financial analysis, client needs, strategic fit, risks, and investment requirements. Builds repeatable AI-enabled workflows, coordinates cross-functional stakeholders, facilitates executive decisions, maintains the opportunity pipeline, and transfers prioritized opportunities to strategy, corporate development, and business-unit teams.

Own and administer content operations platforms, including workflow and digital asset management systems. Define content lifecycle processes, manage platform adoption and user enablement, oversee vendors and licenses, prioritize business requirements, and develop platform roadmaps. Partner with Marketing, Creative, IT, and agencies on integrations and scalable workflows. Implement AI and automation use cases to improve content production efficiency, platform utilization, and marketing execution.

Develop and deploy AI-driven annotation, labeling, and captioning systems for robotics, computer vision, autonomy, and Vision-Language-Action datasets. Train and evaluate machine learning models, build scalable data pipelines, integrate human-in-the-loop workflows, and improve annotation quality. The role requires production software engineering, distributed systems, sensor-data expertise, and experience with computer vision or autonomous systems. Work is onsite in Irving, Texas, with relocation assistance and visa sponsorship available.

Develop and deploy AI-powered annotation, labeling, and captioning systems for robotics, computer vision, autonomy, and VLA datasets. Build data pipelines supporting human review, quality validation, and dataset publication; train and evaluate machine learning models; integrate Caterpillar systems with annotation providers; and ensure scalable, observable production services for heavy-equipment and construction environments.

Leads development of high-fidelity digital twins, machine dynamics models, and reduced-order models for autonomous construction equipment. Establishes NVIDIA Newton simulation standards, validates models against real-world data, and enables robotics, autonomy, reinforcement learning, synthetic data, and virtual validation workflows. Collaborates across engineering, AI, controls, hydraulics, and machine systems teams while shaping Caterpillar’s long-term physical AI and simulation strategy.

Leads a scrum team developing AI-driven annotation automation for robotics, autonomy, computer vision, and VLA datasets. Designs and deploys automated labeling and captioning systems, trains and evaluates machine learning models, builds data pipelines incorporating human review and quality validation, integrates annotation providers, and improves service reliability and scalability. Provides hands-on technical leadership and mentorship while applying technologies such as NVIDIA Cosmos, computer vision, multimodal AI, and sensor-data workflows.

Leads exhibitor financial planning, forecasting, budgeting, capacity planning, KPI reporting, performance analysis, and executive presentation support. Manages and develops a team of analysts, partners with Sales, Finance, and Operations stakeholders, builds analytical models, communicates insights to senior leaders, and drives process improvements using data and AI.

Serves as the primary contact for mortgage borrowers navigating default, loss mitigation, foreclosure, and bankruptcy. Reviews documentation, discusses financial hardship and repayment options, communicates decisions, coordinates with internal mortgage teams, collaborates with investors and third parties, resolves borrower issues, and ensures compliance with investor and regulatory requirements.

Leads prepaid debit card fraud risk management, including fraud strategy, controls, loss performance, trend monitoring, root-cause analysis, and mitigation. Manages and develops fraud analyst experts while partnering with product, operations, technology, compliance, payment networks, issuing banks, and regulators. Supports launches, audits, client proposals, escalations, and executive reporting. Promotes responsible use of AI, machine learning, analytics, visualization, and data storytelling to improve fraud outcomes.

Leads strategic sourcing and contracting, including supplier negotiations, client agreement portfolios, value realization, financial analysis, and process improvement. Oversees sourcing strategy, contract lifecycle management, supplier relationships, and cross-functional stakeholder engagement. Develops leaders, manages organizational change, champions responsible AI-enabled transformation, and drives measurable savings, revenue, operational efficiency, and client return on investment.

Designs and executes quality engineering strategies for AI-powered applications, agentic AI systems, UIs, APIs, LLM workflows, and enterprise platforms. Develops scalable automation frameworks, AI validation methods, observability practices, and production quality processes. Coordinates testing, defect management, release validation, risk identification, and production support while collaborating with engineering, security, governance, data, clinical, and operations teams. Mentors quality professionals and communicates technical risks and recommendations.

Leads Gartner Consulting’s high-tech and telecom portfolio across North America. Advises CIOs, CEOs, and government leaders on technology strategy, digital transformation, cloud, data and AI, cybersecurity, application modernization, sourcing, and cost optimization. Owns client relationships, expands revenue, leads consulting engagements, and develops high-performing teams while translating strategy into measurable business outcomes.

Lead Vizient’s enterprise AI adoption and enablement strategy by creating scalable training, governance, engagement, solutioning, and measurement frameworks. Partner with technology, product, learning, communications, and change management leaders to align AI initiatives with business priorities, drive adoption, measure value, and influence senior stakeholders. The role also includes executive communications, strategic recommendations, and leadership of up to two direct reports.

Design and develop scalable software solutions and distributed systems for Citi’s digital platforms. Lead architecture and engineering decisions, build AI and large language model capabilities, and drive enterprise adoption of generative AI. Develop full-stack applications, APIs, data models, messaging integrations, and cloud-native infrastructure. Collaborate with stakeholders, promote lean engineering practices, and deliver reliable production systems through rapid iteration and continuous improvement.

Leads category strategy and complex strategic sourcing initiatives, including RFPs, supplier evaluation, negotiations, contracting, and implementation. Advises executives, clinicians, operational leaders, and suppliers; facilitates value analysis committees; analyzes spend, utilization, market, and supplier data; manages category portfolios; mentors team members; and drives savings, standardization, innovation, risk mitigation, and operational value. Applies AI tools responsibly to improve market intelligence, communications, analysis, and decision-making.

Designs and implements scalable Azure cloud architectures, automates infrastructure provisioning with Terraform, and oversees Azure DevOps CI/CD pipelines. Provides technical guidance, troubleshoots complex infrastructure issues, and optimizes cloud environments for performance, cost, security, and compliance. Collaborates with stakeholders and cross-functional teams, documents architecture and processes, conducts environment assessments, and delivers Azure training while driving cloud innovation and business objectives.

Develop scalable Generative AI applications and agentic workflows in an enterprise banking environment. Responsibilities include software development, prompt engineering, LLM and RAG integration, model optimization, testing, debugging, CI/CD, cloud deployment, MLOps, microservices, APIs, and containerization. The role collaborates across global teams, applies responsible AI practices, and supports production deployments while gaining exposure to diverse AI frameworks, orchestration tools, and data pipelines.

Lead AI research and innovation focused on LLMs, generative and agentic systems; prototype and productionize models; design experiments, evaluate results, and ensure explainability, security, and compliance; mentor teams and drive enterprise AI adoption across financial services.

Design, develop, test, operate, and maintain AI/GenAI-enabled full-stack applications. Build production-ready code, implement scalable architectures, integrate LLM platforms, ensure security/compliance, perform code reviews, improve reliability, and collaborate across product, architecture, and business teams.

Designs and deploys enterprise conversational AI and multi-agent architectures for consulting customers. Responsibilities include architecting agentic workflows, developing LLM and NLU solutions, tuning speech models, integrating agents with APIs and backend systems, implementing model-serving infrastructure, conducting collision analysis and security testing, and benchmarking model performance. The role also involves ROI analysis, telemetry interpretation, regression testing, and continuous product improvement. Requires substantial experience with GenAI, cloud platforms, AI/ML development, and agent frameworks.

Designs and maintains outside plant and in-line amplification infrastructure for Verizon’s long-haul network. Responsibilities include fiber route analysis, site acquisition, permitting, construction oversight, vendor and purchasing management, project timeline coordination, regulatory compliance, stakeholder communication, and infrastructure troubleshooting. The role also provides guidance to junior engineers and requires collaboration across real estate, network planning, facilities, sales, legal, contractors, and government stakeholders.

Designs and maintains outside plant and in-line amplification infrastructure for Verizon’s long-haul AI Connect network. Responsibilities include fiber route analysis, site walks, construction coordination, real estate and permit acquisition, vendor and purchasing management, regulatory compliance, project timeline oversight, stakeholder coordination, and troubleshooting fiber and equipment issues. The role guides junior engineers and requires approximately 25% travel in a hybrid work environment.

Lead development of complex Java and Spring Boot middleware applications, including RESTful APIs, microservices, Oracle and MongoDB integrations, CI/CD pipelines, testing, security, and production support. Mentor engineers, conduct code reviews, troubleshoot technical issues, contribute to platform roadmaps, and evaluate AI-powered development tools such as Devin, Copilot, Claude, Anti Gravity, and Codex to improve productivity and software quality.