Artificial Intelligence Jobs in Richardson, TX

Lead information security consulting for Capital One’s Card line of business. Advise business and technology teams on infrastructure, data, network, resiliency, access management, cloud security, architecture, and risk mitigation. Serve as a security subject matter expert, manage cybersecurity risks, integrate security into development processes, collaborate with cross-functional stakeholders, and report security health and risks to executive leadership. The role also evaluates AI security, privacy, compliance, vulnerabilities, and attack vectors.

Leads compliance and operational risk management for Consumer and Community Banking. Partners with stakeholders to identify risks, design and monitor controls, conduct risk and control self-assessments, analyze KRI/KPI data, and deliver reporting. Supports regulatory compliance, control program projects, automation, AI, and continuous improvement while advising executives and driving risk mitigation.

Supports telecommunications equipment, network, and service issue resolution while assisting with repair, incident, and service-support processes. Analyzes operational data, identifies recurring issues, develops automation using scripting and AI, tests tools and workflows, maintains technical documentation and dashboards, and contributes to continuous improvement. Collaborates with engineering, operations, supply, quality, and customer-facing teams while preparing stakeholder recommendations.

Lead AI-enabled transformation across client onboarding, servicing, and contact center operations. Responsibilities include mapping journeys, identifying and prioritizing automation opportunities, defining measurable requirements and guardrails, re-engineering processes, designing human-in-the-loop controls, ensuring auditability, partnering with Risk and Compliance, instrumenting KPI dashboards, supporting pilots and scale-up, and creating training materials. The role requires stakeholder management across Operations, Product, Data, Technology, Risk, and Compliance in a regulated financial-services environment.

Leads Global Investigations Operations, overseeing fraud alert intake, triage, case administration, investigative support, process transformation, AI and automation modernization, governance, quality assurance, KPIs, staffing, and cross-functional partnerships. The role redesigns SAR-related workflows, establishes operational controls, improves service performance, enables technology enhancements, and delivers consistent, auditable investigative operations across the firm.

Own and continuously improve technology portfolio governance across multiple lines of business. Manage governance calendars, stakeholder roles, investment taxonomies, data quality, reporting standards, resource utilization views, escalations, and executive communications. Translate complex portfolio information into actionable narratives and investment decisions while reducing ad hoc reporting. Build governance routines, knowledge bases, forums, and training, partnering with senior leaders across Finance, Business Management, and technology stakeholders.

Develop and execute enterprise adoption strategies for intelligent automation, business process management, workflow automation, and AI-enabled technologies. Evaluate emerging capabilities through proofs of concept, coordinate internal teams and vendors, influence platform roadmaps, create executive communications, and lead learning and enablement programs. The role requires strategic thinking, analytical ability, project and program management, stakeholder engagement, and the ability to translate technical concepts into business value.

Lead day-to-day program management and delivery of Client Onboarding & Service transformation initiatives. Scope problems, design solutions, plan delivery, produce executive-ready presentations, drive cross-functional alignment, manage change, engage product and tech teams using agile practices, and apply emerging tech insights to improve outcomes.

Leads enterprise cloud platform adoption across business lines by advising engineering teams on architecture, onboarding, migration, governance, networking, and identity. Builds automation and self-service tooling, develops documentation and training, evaluates infrastructure technologies, and translates customer feedback into platform improvements. Applies enterprise-authorized AI responsibly within engineering workflows while validating recommendations for resiliency, security, auditability, and data sensitivity.

Leads data governance and ownership initiatives, defining data requirements, quality standards, metadata, lineage, controls, and curated datasets. Performs SQL-based testing, validation, reconciliation, and root-cause analysis. Partners with technology and business teams to mitigate data risk, support analytics and machine learning use cases, and improve data products. Applies AI and LLM tools to automate governance activities and contributes to roadmap, agile delivery, and stakeholder management.

Lead and mentor an agile engineering team to design, build, test, and operate secure, cloud-native production software. Provide technical direction, deliver high-quality code, drive product design decisions, and advocate firmwide engineering practices while applying AI/ML expertise.

Leads engineering teams delivering automation and robotic process automation solutions across the service organization. Partners with product, operations, and technology leaders to modernize processes, reduce manual work, improve quality, and develop AI-enabled capabilities. The manager is responsible for team leadership, technology strategy, responsible AI adoption, operational excellence, stakeholder collaboration, and delivering practical business value through software solutions in an agile environment.

Leads product analytics for small business lending by framing business questions, building and validating datasets, developing KPI and reporting frameworks, conducting statistical and predictive analyses, and translating findings into executive-ready recommendations. Partners with product, lending strategy, risk, finance, technology, and operations stakeholders to improve measurement, automation, data governance, customer understanding, and lending-product performance.

Lead enterprise portfolio strategy and delivery for EPTech Top of House: translate executive vision into roadmaps, automate portfolio processes with AI, manage intake/capacity and governance, mitigate technology risk, drive OKR reviews and PI planning, and influence senior stakeholders to align execution with business intent.

Support finance transformation initiatives by leading a workstream, developing AI solutions for finance teams, analyzing financial and operational data, building business cases, tracking performance metrics, and presenting findings to finance leadership. Prepare concise executive summaries and presentations while collaborating with Finance, Accounting, Commercial, Operations, and transformation teams.

Own the vision, strategy, roadmap, backlog, metrics, and end-to-end delivery of enterprise contact center capabilities. Integrate Amazon Connect workflows with business applications, lead discovery and stakeholder alignment, manage product readiness and adoption, and ensure secure, reliable, measurable outcomes across engineering, operations, risk, and business teams.

Leads cybersecurity architecture for software applications and platforms within wealth management. Drives secure product design, evaluates current and emerging technologies, establishes target architectures, and guides business and technical stakeholders. Oversees alignment with enterprise frameworks, regulatory requirements, scalability, resilience, and software development lifecycle practices. Serves as a subject matter expert in architecture governance and collaborates across teams to deliver secure, high-volume enterprise solutions.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.

Lead data ownership and governance for wholesale credit risk. Define data strategies, ensure data quality, metadata and lineage, enable data products, mitigate data risks, and coordinate cross-functional delivery for analytics and reporting.

Senior analytics leader partnering with business and finance to deliver trusted metrics, improve data quality, govern portfolio metrics, and generate decision-ready insights. Leads end-to-end analytics, drives automation and self-service, validates AI use, and communicates executive-level findings to manage lending performance, risk, and operational efficiency.

Lead second-line Compliance oversight for J.P. Morgan Wealth Management online brokerage and related products. Advise on regulatory compliance, identify and remediate conduct risks, manage compliance reviews, draft policies, support regulatory examinations, and partner with business, Legal, Risk, Technology and control functions globally.

Lead engineering and ML platform work: design, develop, and maintain secure, scalable production code and ML infrastructure; drive adoption and validation of enterprise AI-assisted development practices; automate remediation, evaluate vendors, and coach teams on responsible AI, resiliency, and security within agile CI/CD workflows.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Leads enterprise data management and data engineering strategy across financial services domains. Directs multiple teams, drives AI adoption with human validation and sensitive-data controls, establishes governance for AI-assisted workflows, and aligns senior stakeholders across business and technology. Oversees complex projects involving system design, testing, resiliency, security, auditability, observability, data quality, lineage, and operational stability. Develops talent and influences delivery across a highly matrixed organization.