Artificial Intelligence Jobs in Irving, TX

The AI Solutions Consultant collaborates with business leaders to develop AI solutions that enhance productivity and streamline operations, evaluating business challenges and recommending actionable use-cases.

Lead the architecture and execution of enterprise AI capabilities, focusing on Generative and Agentic AI, while mentoring teams and influencing strategic roadmaps.

Lead the enterprise AI governance program, focusing on risk management, policy design, and strategic oversight for AI usage, ensuring compliance and best practices.

The Principal AI Data Architect will lead AI solution design, collaborating with teams to develop advanced analytics and data architecture solutions, enhancing Caterpillar's Global Finance operations.

The role involves leading AI automation product teams, guiding development, overseeing strategic initiatives, and driving collaboration for operational excellence.

Lead hands-on design and delivery of scalable, secure banking middleware. Drive architecture, apply DevSecOps/SRE practices, mentor engineers, influence technical decisions, and integrate emerging technologies (e.g., Apache Flink, AI) to ensure high availability, performance, and operational excellence.

The role involves analyzing conversational data, enhancing NLP accuracy, monitoring AI model performance, and leading AI initiatives in a contact center environment.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

The role involves developing conversational AI solutions using Dialogflow CX, integrating with backend systems, and optimizing performance by analyzing feedback.

Manage industry analyst relations and provide strategic guidance for engagement, ensuring high-quality evaluations and capturing insights.

Responsible for building conversational AI experiences using Dialogflow CX, integrating backend systems, conducting QA, and leading teams on AI initiatives.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

The Lead AI Engineer will manage AI/ML model production, ensure deployment pipelines, mentor teams, and enhance AI systems with innovative technologies.

The role involves designing, developing, and integrating generative AI solutions, collaborating with teams, optimizing models, and mentoring juniors.

Lead design, build, and deploy production Generative AI/LLM solutions (including RAG pipelines); partner with stakeholders to integrate systems, define architecture and standards, coach mid-level engineers, ensure MLOps/CI-CD, and manage risk, compliance, and safety for GenAI features.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

As a Solution Architect II, you'll design AI-driven solutions, collaborate with interdisciplinary teams, and ensure robust cloud and data architectures while influencing AI and cloud infrastructure strategies.

Lead design and architecture for generative AI applications, collaborate across teams, ensure compliance, evaluate platforms, mentor engineers, and innovate in AI technologies.

The Senior Software Engineer will lead data engineering initiatives, design scalable web services, and mentor teammates while ensuring technical alignment with business goals.

Drive the design and integration of Generative AI solutions, collaborating with teams to optimize AI models and support production environments.

The Senior Audit Manager oversees audit activities related to AI Technology, Cyber, Data, and GenAI Engineering, providing assurance on risks and controls while acting as a subject matter expert.

Lead the development and operational excellence of AI-powered applications and marketing technologies for Wealth Management, focusing on strategy, architecture, and advisor-facing innovations.

Support the Head of AI and Business Execution Lead to drive AI strategy execution, prepare executive-level materials, coordinate cross-functional initiatives, monitor progress, manage stakeholders, and apply an AI-first, risk-aware approach to deliver strategic outcomes and governance across Citi.

The AI & ML Platform Engineer, VP designs AI & ML platform solutions, implements hybrid cloud architectures, and drives strategy for data analytics at Citi.

Validate ML and generative AI healthcare solutions across the development lifecycle. Design and run automated, data-driven test strategies, LLM evaluation and prompt regression suites, monitor drift and safety, build dashboards and alerting, and partner with cross-functional teams to define quality gates and remediate defects.