Artificial Intelligence Jobs in Irving, TX

The role involves defining and scaling the O2A strategy, implementing agentic AI, and optimizing workforce analytics to enhance operational efficiency.

The AI Middleware Principal Engineer will lead the design and evolution of enterprise middleware platforms, apply AI for efficiency, and mentor engineering teams.

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

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

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 role involves developing scalable applications for Capital Markets, optimizing systems, collaborating with teams, implementing risk controls, and using AI tools for automation.

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.

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.

Lead the development of AI applications and frameworks, ensuring adherence to system architecture and industry standards. Collaborate with management to enhance system functionalities and deploy new products while mentoring mid-level developers.

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

Lead applications systems analysis and programming activities for Capital Markets. Manage Java development team and collaborate with stakeholders to enhance applications for risk management and compliance.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.

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

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.

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

The Data Science Director leads AI model development, builds a team of data scientists, establishes best practices, and translates insights for stakeholders.

The Senior Director will manage AI Toolmate's development, lead a hybrid workforce, and transform user feedback into actionable roadmaps for enhanced productivity.

Lead AI-based design initiatives to enhance cybersecurity user experiences. Collaborate with cross-functional teams, advocate for design excellence, and elevate design workflows using AI tools.

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

The intern will assist with AI and data analytics projects including building machine learning models, conducting exploratory data analysis, and supporting technical documentation.