Artificial Intelligence Jobs in Irving, TX

Designs and accelerates AI-enabled capabilities across ITSM offerings, initially Incident, Change, and Problem Management. Translates workflows into scalable solution designs, evaluates deterministic automation, predictive, generative, agentic AI, and API approaches, and conducts prototypes and experiments. Produces architecture and implementation guidance, coaches product and engineering teams, influences senior stakeholders, and ensures solutions meet enterprise standards for scalability, supportability, risk, and measurable business outcomes.

Leads marketing measurement, attribution, predictive modeling, audience segmentation, and advanced analytics. Develops statistical and machine learning models, evaluates marketing and sales data, improves campaign and revenue measurement, and translates insights into strategic recommendations. Partners with marketing, sales, operations, digital, and data engineering teams while presenting findings to senior stakeholders and driving analytics innovation.

Leads principal engineers and cross-functional teams delivering business systems, products, and platform enhancements for Verizon’s indirect consumer channel. Responsibilities include managing technology roadmaps, requirements, business cases, vendor relationships, integrations, Agile delivery, stakeholder communications, and CRM, product catalog, and point-of-activation platforms. The role also drives AI-enabled store solutions, KPI performance, customer and partner experience improvements, and organizational change.

Leads Citi’s Customer Management engineering organization across Retail Banking, Wealth Technology, and Mortgage. Responsibilities include managing multiple engineering teams, owning architectural strategy, overseeing 50+ technology investments and critical applications, directing cloud migrations and data conversions, governing delivery and controls, managing disaster recovery, assessing technology risk, and partnering with executives. The role requires enterprise-scale banking systems experience, strong people leadership, and hands-on familiarity with modern architectures and AI-enabled software development.

Leads Citi’s global KYC process transformation, diagnosing workflows, redesigning standardized operating models, defining automation requirements, and embedding structured data architectures. Oversees process mining, RPA, AI enablement, change management, stakeholder alignment, regulatory compliance, KPI governance, and measurable productivity improvements across geographically dispersed teams and jurisdictions.

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 digitalization and innovation initiatives for a remote optimization center, deploying AI, advanced analytics, automation, digital twins, and decision-support tools to improve plant performance. Oversees data science resources and analytics portfolios, partners with operations, engineering, technology teams, and vendors, and manages innovation programs and solution pipelines. The role drives solutions from ideation through production, adoption, scaling, and measurable operational improvement across manufacturing environments.

Provides strategic cybersecurity architecture leadership across applications, data, networks, cloud, SaaS, and emerging AI technologies. Develops security requirements, designs secure technical architectures, assesses risk, improves security frameworks, supports SDLC activities, and supervises cybersecurity testing. Partners with business and executive stakeholders to enable strategic initiatives while strengthening security controls and resolving complex technical challenges.

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.

Leads a global fraud operations organization in Irving, Texas, overseeing customer outreach, fraud detection, claims processing, KPIs, workforce capacity, quality, productivity, technology adoption, and continuous improvement. Builds and develops the site team, partners with technology and product stakeholders on AI-enabled tools, and manages operations in a high-volume, regulated environment.

Provide legal support to the General Counsel across commercial transactions, technology and IP licensing, SaaS/API/data agreements, BAAs and HIPAA compliance, contract negotiation, subpoena responses, investigations, and cross-functional counseling to minimize legal risk and support product and business objectives.

The HRIS Analyst administers and enhances Workday workforce management functionality, including reporting, dashboards, configurations, integrations, security, audits, data migrations, and troubleshooting. The role supports compliance, employee engagement, training, documentation, and process optimization while partnering with HR teams and business leaders. Required experience includes Workday administration, EIB and integrations, Excel-based data analysis, and strong communication skills. The position is hybrid in Irving, Texas and may require periodic travel and nonstandard work hours.

Drive Databricks adoption on Azure by leading architecture reviews, proofs of concept, and production deployments. Advise customers and partners on data, analytics, and AI architectures; resolve technical blockers; promote security, governance, reliability, and operational excellence; create reference architectures and reusable IP; and collaborate across sales, engineering, and partner teams to accelerate cloud consumption and measurable customer outcomes.

Design, prototype, and deploy AI/ML solutions (including LLM-based systems) for retail use cases. Collaborate with cross-functional teams, build production-ready backends, and productionize models using vector databases, cloud platforms, and containerized deployments.

Design, develop, validate, operationalize, and maintain large-scale data models and analytics. Perform end-to-end analytics including data wrangling, feature engineering, modeling (including NLP and ML), MLOps, and stakeholder communication to drive business insights and improve operational efficiency.

Lead and define organization-wide Responsible AI, evaluation, and model-governance standards. Orchestrate cross-organization AI initiatives, influence engineering and executive stakeholders on architecture and roadmap, oversee end-to-end delivery, and mentor other program managers to drive strategic AI program outcomes and safety requirements.

Leads the design, prototyping, development, deployment, and governance of generative and agentic AI solutions. Builds and fine-tunes machine learning models, manages data pipelines, develops scalable Python services, and applies MLOps practices in containerized environments. Researches emerging AI technologies, leads proof-of-concept initiatives, and collaborates with engineers, architects, product managers, and business stakeholders to deliver production-ready AI systems.

Lead technical vision and architecture for enterprise ML platforms and MLOps. Design training, feature, serving, and observability systems; establish ML lifecycle and governance; solve complex cross-team engineering problems; mentor senior engineers; evaluate emerging AI technologies; drive cost optimization, compliance, and organizational alignment.

Lead Verizon’s AI infrastructure networking product growth strategy from market identification through commercialization and revenue expansion. Develop ecosystem partnerships with hyperscalers, GPU providers, data center operators, colocation providers, OEMs, and infrastructure partners. Build pricing models, business cases, capacity commitments, and multi-year agreements for optical, fiber, programmable networking, and data center connectivity services. Collaborate with engineering, finance, legal, sales, and product teams while tracking pipeline, contracts, revenue conversion, and partner performance.

Lead cloud and data platform engineering for analytics and AI: implement DevSecOps CI/CD pipelines, automate infrastructure with IaC, manage Snowflake data warehouse and ingestion, oversee cloud cost reporting and FinOps, and evaluate/operate emerging AI/LLM capabilities and governance. Act as senior individual contributor collaborating with security, finance, and engineering teams to optimize performance, security, and cost.

Leads end-to-end architecture for core banking systems, data platforms, and AI capabilities. Designs scalable batch and real-time pipelines, distributed systems, cloud-native integrations, and automation architectures. Defines non-functional requirements, reference architectures, reusable patterns, and technical roadmaps. Evaluates technologies and vendors while addressing resiliency, security, compliance, technical debt, integration complexity, and modernization risks. Partners with engineering, product, security, compliance, and executive stakeholders to align solutions with enterprise standards and banking regulations.

Owns strategy, roadmap, backlog, performance metrics, and stakeholder engagement for enterprise Conversational AI and Digital Employee Experience products. Leads development and adoption of AI agents, virtual assistants, GenAI platforms, automation workflows, integrations, and responsible AI controls. Uses OKRs, conversation analytics, self-service optimization, ticket deflection, and business outcomes to prioritize initiatives and drive enterprise AI adoption across IT, HR, workplace services, and employee experience.

Own the worldwide sales strategy, targets, pipeline, and revenue performance for Microsoft’s AI Workforce solution area. Lead and coach regional sales managers, orchestrate global business reviews, coordinate cross-region deal support, and develop partner co-sell strategies. Align worldwide sales plays and campaigns with regional execution, promote adoption of sales tools and methodologies, and use market insights to influence corporate strategy and drive customer AI transformation outcomes.

Lead and grow a machine learning and AI organization, define and execute ML/AI strategy, and oversee end-to-end model development, deployment, and monitoring. Drive adoption of advanced techniques (LLMs, generative AI, NLP, CV), ensure responsible AI governance, collaborate cross-functionally, and communicate business impact to executives.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and platforms to support real-time and batch processing. Collaborate with architects and stakeholders to translate requirements, implement AWS-based ingestion/streaming solutions, enforce data quality/testing, and operate observability and CI/CD practices to ensure reliable production data systems for autonomy initiatives.