Artificial Intelligence Jobs in Plano, TX

Leads security engineering across multiple technology domains, clarifies security requirements, supports multi-level network security, and advises stakeholders during vulnerabilities and disruptive events. Performs threat modeling, risk assessment, vulnerability and penetration testing, and validates AI-assisted security recommendations. Designs and implements enterprise security solutions while ensuring security testing, control validation, traceability, auditability, and resiliency throughout software development lifecycles and toolchains.

Leads enterprise PCI DSS assessments and regulatory compliance activities within JPMorganChase’s Cybersecurity Technology Controls team. Manages concurrent assessments, validates scope and documentation, coordinates with Qualified Security Assessors and control owners, identifies compliance gaps, guides remediation and compensating controls, and reports risk findings and metrics to stakeholders. Applies technology risk, audit, regulatory, and control expertise while using automation and artificial intelligence to improve assessment efficiency and quality.

Leads enterprise infrastructure architecture strategy across products, applications, technologies, and global portfolios. Designs and governs scalable cloud-native solutions, establishes architecture governance and guardrails, drives hybrid multi-cloud adoption, and advises leadership on complex technical decisions. Leads responsible adoption of AI and agentic workflows with human validation, auditability, security, and resiliency controls. Influences teams across highly regulated environments and advances reusable frameworks and long-term infrastructure capabilities.

Leads strategic transformation programs across business, operations, and technology teams. Responsibilities include developing roadmaps, managing governance and dependencies, defining OKRs and KPIs, building performance dashboards, analyzing operational data, resolving risks and conflicts, and delivering executive-ready business cases and operating models. The role influences senior stakeholders, drives measurable improvements in quality and efficiency, and may eventually include people management.

Lead data science initiatives by designing scalable analytical methods, building data pipelines and models, and delivering insights from financial and transaction data. Provide technical oversight, establish coding and modeling standards, ensure analytical rigor, and manage data science projects. Coach and develop analysts and data scientists while applying statistical analysis, machine learning, predictive modeling, anomaly detection, geospatial analytics, and business intelligence to support strategic decisions.

An 11-week analyst internship involving qualitative and quantitative data analysis, performance trend research, opportunity identification, and recommendations supporting business decisions in the insurance industry. Interns collaborate individually and in teams, use analytical and technical tools, participate in training, and develop business acumen while exploring potential full-time opportunities.

Owns full-cycle recruiting for executive Product and Design roles, from intake through offer close. Serves as the primary recruiting relationship manager for senior stakeholders, develops diverse talent pipelines, provides market insights, manages requisition governance, and delivers data-informed hiring updates. The role also improves recruiting workflows, uses AI-enabled tools and analytics, supports inclusive hiring, and manages complex offers and stakeholder expectations. This is an individual contributor position without people-management responsibilities.

Own the strategy, roadmap, backlog, and delivery priorities for Liberty Mutual’s UiPath intelligent automation and orchestration ecosystem. Partner with business, engineering, architecture, and technology stakeholders to define product capabilities, prioritize customer value, manage dependencies, and communicate decisions. Monitor product health, KPIs, risks, compliance, and operational insights while supporting Agile ceremonies and continuous improvement. The role requires extensive UiPath platform experience, automation integrations, and the ability to influence stakeholders across teams.

Advise Technology stakeholders on data ownership, governance, risk, and management practices. Lead maturity assessments, strategic roadmaps, operating model improvements, metrics, executive reporting, and capability enhancement initiatives. Partner with senior leaders across Technology, Risk, Controls, and CDAO to improve data quality, metadata, regulatory alignment, and governance effectiveness. Identify opportunities to apply AI, automation, and modern data platforms to scale data management outcomes.

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.

Partner with financial advisors and stakeholders to identify AI opportunities, build and test assistant capabilities, and move prototypes into production. Use user feedback, data, and business strategy to guide product decisions. Track adoption and impact, support rollout and training, communicate with leadership, and stay current on AI and wealth management developments.

Leads innovation and technology enablement initiatives that improve organizational effectiveness. Develops AI, automation, data, dashboards, workflows, and scalable business solutions from concept through implementation. Translates business challenges into use cases, prototypes, business cases, and strategic recommendations. Evaluates emerging technologies, supports adoption and governance, presents to senior leaders, and develops team members within a matrixed organization.

Leads technology risk and control activities across an application portfolio. Responsibilities include identifying and mitigating operational and compliance risks, evaluating control effectiveness, managing issues, conducting root cause analysis, reporting risk insights, and supporting regulatory compliance. The role also applies enterprise AI and machine learning governance, validates AI-assisted outputs, protects sensitive data, and advises technology leaders and senior management on risk posture and remediation strategies.

Leads governance and end-to-end delivery for complex workplace technology programs. Responsibilities include managing milestones, dependencies, risks, resources, financials, controls, vendors, executive reporting, dashboards, workflow automation, and analytics. The role also establishes responsible AI-assisted engineering practices, validates AI outputs for security and quality, drives continuous improvement, and aligns cross-functional stakeholders across engineering, infrastructure, finance, operations, and business teams.

Supports continuous improvement across construction and engineering operations by analyzing workflows, requirements, performance data, and operational challenges. Identifies opportunities for process simplification, automation, and AI-enabled solutions; develops process maps, reports, presentations, and recommendations; and assists with solution testing, implementation, change management, training, and adoption. Collaborates with stakeholders and documents best practices and project outcomes.

Leads product strategy, discovery, roadmaps, lifecycle delivery, metrics, and customer value for Deposits 2.0. Applies AI and agentic frameworks to solve complex banking problems, build reusable AI agents and standards, improve knowledge quality, and establish AI-enabled operating models. Drives adoption, change management, cross-functional collaboration, risk governance, delivery plans, and mentoring across Engineering, Data, Design, Architecture, Operations, and Controls.

Leads product strategy and people management for enterprise architecture, cloud governance, service enablement, and policy-as-code platforms. The role drives secure cloud adoption, automated governance, architecture reviews, risk insights, developer velocity, and alignment across engineering, cybersecurity, risk, and executive stakeholders. The director will develop product managers, leverage AI-enabled automation, and establish measurable outcomes balancing regulatory compliance with rapid technology delivery.

Build and operate security services and guardrails for AI and machine learning workloads on AWS. Develop production Python code, design cloud security controls, manage Terraform infrastructure, lead technical designs and vendor evaluations, and ensure reliable, scalable implementations. The role also addresses generative AI misuse through input validation, abuse detection, identity and access controls, encryption, logging, monitoring, and policy enforcement.

Leads affluent-segment business development strategy, go-to-market execution, client acquisition, retention, and relationship deepening. Establishes operating plans, governance, incentives, referral programs, client insights, and performance metrics. Partners with senior stakeholders, HR, finance, controls, data, and technology teams to scale execution, manage risk, support transformation, and develop relationship-management talent.

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 the development and production deployment of generative AI, agentic AI, and machine learning solutions in Python. Establish enterprise semantic modeling, ontology, and unified semantic layer standards; build AI pipelines, evaluation frameworks, intelligent workflows, and MLOps capabilities. Implement responsible AI governance for regulated environments, partner with business and technical stakeholders, and mentor engineers and data scientists while influencing enterprise technical direction.

Develops scalable, resilient software and AI-powered capabilities for identity and access management. Designs, codes, tests, troubleshoots, and maintains secure production systems using Java or Python. Leads responsible adoption of AI-assisted development tools, establishes validation and security standards, contributes to architecture, analyzes large datasets, and improves software quality, resiliency, and operational outcomes. Collaborates with engineering, architecture, data science, risk, compliance, and business teams in an agile environment.

Lead enterprise infrastructure and security architecture across cloud, networking, identity, data centers, platforms, and DevSecOps. Develop multi-year modernization roadmaps, govern architecture decisions, assess risks, and establish secure, resilient, AI-enabled engineering patterns. Serve as the senior security architecture authority, guide critical application and infrastructure reviews, ensure regulatory alignment, and communicate recommendations to executive technology leaders in a globally distributed financial-services environment.

Leads enterprise email security strategy, architecture, engineering, modernization, and lifecycle management. Oversees phishing protection, threat detection, encryption, DLP, cloud security, incident response, risk remediation, governance, metrics, vendor relationships, and regulatory alignment. Partners with cross-functional stakeholders, presents to executives, leads engineering teams, and applies AI-enabled workflows to improve security analysis and operational effectiveness.

Provides cybersecurity consulting and governance for a business function, evaluating architectures, infrastructure, cloud, network, data, access, and resilience risks. Advises engineering and product teams on security capabilities, risk mitigation, and secure development. Manages cyber risks, supports incident analysis, presents security health to executives, and evaluates AI-related security, privacy, compliance, and attack risks.