Artificial Intelligence Jobs in Irving, TX

Lead risk analytics for merchant services by assessing credit and fraud risk, developing scoring and machine learning models, identifying emerging trends, and producing governed reporting and insights. Review data, forecasting, and programming models; resolve production and modeling issues; document processes; support regulatory compliance; and collaborate with risk, compliance, technology, and business teams. Lead initiatives, mentor staff, and balance business growth with effective risk mitigation.

Leads the vision, strategy, roadmap, prioritization, and delivery of Caterpillar MineStar Surface Management solutions. Translates mining challenges into scalable solutions involving production and material tracking, terrain modeling, and geospatial analytics. Aligns Product, Engineering, UX, Data, business stakeholders, and mining operations teams globally, driving customer value, adoption, measurable operational improvements, and long-term platform evolution.

Design, develop, test, certify, and deploy autonomy components for large off-road machines across perception, planning, control, and learning. Take robotics solutions from prototype through production on real hardware, contribute across the autonomy stack, and collaborate in outcome-focused engineering pods. The role involves simulation, on-vehicle deployment, field robotics, and potentially machine-learning infrastructure.

Leads the architecture, roadmap, governance, and delivery of an enterprise network automation platform. Builds and manages engineering leadership teams, drives infrastructure automation and autonomous operations, integrates observability, orchestration, APIs, workflows, ITSM, and AI capabilities, and partners with engineering, operations, security, and risk teams to scale adoption and improve software engineering practices.

Defines data architecture for physical AI and autonomous systems, including data contracts, schemas, metadata, governance, lineage, and traceability. Designs multimodal architectures for sensor, video, image, telemetry, event, simulation, and robotics data. Establishes scalable data patterns for robotics training, synthetic data, world models, and AI development. Leads architectural roadmaps and standards while partnering with simulation, robotics, data engineering, and platform teams.

Leads the design, development, and deployment of agentic AI, generative AI, NLP, and machine learning models for consumer banking applications. Translates business needs into scalable technical solutions, guides data scientists, collaborates with business and technology partners, communicates model outcomes, and ensures regulatory and risk-management compliance.

Designs, builds, and maintains scalable data pipelines, microservices, and cloud-based data systems. Develops real-time and batch processing solutions using Python, Java, and AWS services; creates data integrations and workflows; translates requirements into system designs; implements testing and validation; and monitors distributed pipelines for reliability, performance, and data quality.

Develop and maintain Java applications, microservices, and APIs for Caterpillar’s MineStar ecosystem. Lead AI-assisted software delivery using agentic workflows, prompt engineering, orchestration, and human validation. Ensure secure, reliable, tested, and maintainable solutions through architecture, code reviews, quality gates, CI/CD, observability, and production support. Provide technical leadership, mentor engineers, troubleshoot incidents, create reusable AI delivery patterns, and collaborate with Product, Engineering, and Quality teams.

Define and execute the product vision, strategy, roadmap, and priorities for web, mobile, and AI-enabled products. Lead initiatives from discovery through launch and continuous improvement while partnering with engineering, data science, design, security, and business teams. Monitor KPIs, user behavior, product analytics, and model performance to guide decisions. Ensure responsible AI practices addressing privacy, security, data quality, bias, and reliability.

Leads enterprise data architecture strategy and governance for Citi’s fraud domain. Responsibilities include developing data models, flows, standards, and remediation frameworks; architecting scalable data solutions; supporting analytics and AI use cases; partnering with senior stakeholders; and managing data architecture analysts. The role requires extensive financial services experience, fraud-domain expertise, enterprise data architecture capabilities, executive communication, and cross-functional leadership.

Leads research on physical AI safety and security across autonomous systems, robotics, agentic AI, sensors, and AI hardware. Develops research agendas, conducts expert interviews and technical assessments, analyzes markets and competitors, evaluates technology readiness and regulatory risks, authors authoritative content, and presents insights to executives, investors, and technical audiences. Builds relationships across the physical AI ecosystem and advises clients on strategic decisions, investments, commercialization, and emerging technology implications.

Leads enterprise solutions architecture for complex IT programs, designing scalable distributed systems and technology roadmaps. Integrates AI, machine learning, generative AI, and workflow automation into secure enterprise platforms. Provides technical governance, risk assessment, systems integration, cloud architecture, and technical leadership across global teams. Mentors architects and engineers while ensuring solutions meet regulatory, reliability, and operational standards.

Leads a team of business analysts supporting IVR, AI, and chatbot applications. Translates business requirements into user stories, partners with senior stakeholders, manages staffing and performance, supports investment planning, monitors project delivery, and establishes business analysis standards. The role requires strong leadership, analytical judgment, technical knowledge, and experience with Java, mainframe environments, JIRA, and Confluence.

Leads distributed, cross-regional software engineering teams responsible for Conference Tech platform integrations. Drives the integration roadmap, cloud architecture, API-centric and event-driven platform development, engineering excellence, SDLC rigor, quality, responsible AI adoption, and organizational change. Partners with business and IT leaders to deliver secure, scalable enterprise solutions aligned with strategic priorities and improved conference attendee experiences.

Leads a large engineering organization responsible for secure, scalable, cloud-native enterprise platforms supporting data, AI, identity, security, and shared services. Defines engineering strategy, platform investments, architecture, and roadmaps while partnering with Product, Security, Architecture, and Technology Delivery. Establishes DevSecOps, CI/CD, quality, observability, automation, and SRE practices; develops engineering leaders and talent; and drives technical excellence, innovation, reliability, and enterprise-wide platform adoption.

Leads the strategy, roadmap, investment priorities, and execution of AI-powered customer experiences across Citi. The role defines personalized, conversational, and agentic financial experiences; drives customer journey innovation; partners across technology, data, design, risk, compliance, and business teams; establishes performance metrics; and builds a high-performing product leadership organization. The leader influences senior executives and delivers responsible AI transformation across acquisition, onboarding, engagement, servicing, rewards, lending, and relationship growth.

Provides second-line technology risk oversight across application architecture, SDLC, DevSecOps, CI/CD, cloud platforms, software supply chains, and AI-enabled engineering. Assesses technical controls, delivery pipelines, source control, infrastructure as code, containers, Kubernetes, secrets, deployment processes, and runtime configurations. Leads deep technical risk reviews, develops risk indicators, identifies systemic weaknesses, challenges engineering teams, and translates complex technical findings into remediation plans and decision-ready reporting for senior management, risk committees, and regulators.

Owns the end-to-end sales cycle for AI-powered business process solutions serving state and local government customers. Identifies opportunities, develops territory plans, builds pipelines, presents demos and pilots, creates value propositions, manages partners, removes adoption blockers, and drives deal closure and revenue growth for Dynamics 365, Power Platform, and Copilot solutions.

Lead the design and development of scalable data pipelines, microservices, cloud-native ingestion systems, and streaming solutions. Collaborate with architects, engineers, product teams, and business stakeholders to build reliable data platforms using Python, Java, AWS services, SQL, and relational and NoSQL databases. Establish data quality, testing, monitoring, automation, and validation frameworks while optimizing performance and resolving production issues across distributed systems.

Lead consultative sales and customer engagements for AI Workforce solutions, including Microsoft 365 Copilot, Copilot Studio, Copilot Chat, and AI agents. Orchestrate internal teams and partners, identify and develop strategic opportunities, engage business and IT decision-makers, communicate business value, manage competitive strategies, and drive cross-sell, up-sell, adoption, and successful AI transformation outcomes.

Leads product strategy, customer research, competitive intelligence, and partner engagement for Citi’s U.S. Consumer Cards digital and client experience organization. Shapes digital and CX roadmaps, evaluates emerging technologies including AI, guides investment decisions, aligns senior stakeholders across business and functional teams, oversees executive governance, and develops strategic recommendations. Manages a 15–20-person team and influences product innovation, customer experience, and business growth across a complex matrixed organization.

Defines enterprise architecture and operating standards for AI-ready data products supporting Physical AI, simulation, and machine learning. Establishes data domains, contracts, metadata, quality, lineage, security, lifecycle management, and reusable data objects. Integrates labeling, annotation, curation, evaluation, and feedback processes while aligning business, data engineering, and AI teams. Provides strategic architectural leadership across engineering organizations and develops scalable cloud, on-premise, telemetry, streaming, and edge-to-cloud data platform strategies.

Defines enterprise architecture for streaming, batch, event-driven, analytics, and Physical AI data workloads. Designs ingestion, transformation, storage, governance, observability, security, resilience, and lifecycle-management patterns. Establishes platform guardrails, evaluates emerging technologies, and develops architectural roadmaps. Partners with engineering, cloud, and business teams to support AI and autonomy initiatives across large-scale industrial data ecosystems.

Leads AI and emerging-technology research for supply chain executives. Develops market insights, forecasts trends, assesses AI risks and governance, translates AI capabilities into supply chain outcomes, and advises clients on strategic and financial ROI. Creates research and presentation content, supports sales and conferences, mentors analysts, reviews work, and collaborates across Gartner teams. Requires executive presence, strong research, writing, analytical, communication, and presentation skills, with up to 25% travel.

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.