Artificial Intelligence Jobs in Plano, TX

Support digital product analytics for an application status platform by defining measurement strategies, KPIs, analytical frameworks, dashboards, governed datasets, and anomaly alerts. Analyze platform data, identify trends and performance issues, communicate recommendations to product and technology stakeholders, and collaborate on instrumentation and pipelines. Use AI-enabled tools to accelerate validated analysis while building reusable playbooks and scalable self-service reporting capabilities.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Define strategy, vision, roadmaps, and priorities for enterprise unstructured data products supporting analytics and AI. Partner with business, data, technology, risk, and control stakeholders to identify opportunities, build governed reusable data products, lead pilots, secure executive support, measure adoption and value, and ensure privacy, compliance, records management, and governance requirements are met.

Leads AI readiness and adoption across call center, back-office, and frontline operations. Designs learning, change management, communication, and reinforcement campaigns; consults with executives and HR leaders; integrates enterprise best practices; equips leaders with coaching resources; and develops measurement strategies using feedback and tool telemetry to improve AI adoption and operational performance.

Leads a customer-facing Managed Services organization supporting multiple external customers. Oversees service delivery, technical operations, customer satisfaction, staffing, team development, SLAs, utilization, ticket performance, escalations, budgeting, profitability, and continuous improvement. Partners with Sales and leadership on customer transitions, solution design, technology strategy, automation, AI adoption, and service growth. Requires substantial MSP leadership experience, technical-services management expertise, and the ability to scale operational processes.

Leads multiple .NET development teams and QA functions delivering secure, scalable Azure-hosted applications. Establishes Agile delivery practices, engineering metrics, testing standards, CI/CD and DevSecOps processes, application security controls, and production support practices. Drives adoption of AI-assisted development tools and leads AI-driven and agentic solution delivery. Partners with architecture, security, cloud, product, and business stakeholders while managing hiring, coaching, technical debt, compliance, and continuous improvement.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insurance operations. Complete training, mentorship, and rotational assignments while developing strategic, technical, analytical, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies to generate business insights.

Leads the design and development of scalable software frameworks and secure production code. Architects enterprise AI-enabled engineering workflows, establishes responsible AI guardrails, and improves automation, testing, release readiness, and incident response. Advises cross-functional teams, influences senior stakeholders, defines target-state AI architectures, and guides roadmaps and solution architectures across Consumer and Community Banking.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Leads advanced claims business process ownership, optimization, and technology implementation. Develops process strategies, roadmaps, controls, requirements, business cases, and performance measures. Partners with technical teams and stakeholders to deliver AI-enabled capabilities, improve claims outcomes and adjuster efficiency, manage operational and compliance risks, and drive continuous improvement. Requires strong process management, claims operations, change leadership, analytics, and stakeholder engagement experience.

Leads an Area Product Group delivering core banking platform capabilities. Owns product strategy, roadmap, backlog prioritization, requirements, stakeholder alignment, Agile delivery, and outcomes across multiple teams. Partners with engineering and product owners to build scalable, reusable solutions, manage dependencies and risks, and communicate delivery progress. Applies AI-assisted practices to discovery, impact analysis, backlog refinement, quality insights, and responsible governance within a regulated enterprise environment.

Leads complex, cross-organizational technical programs that institutionalize AI product development lifecycle practices and scale agentic engineering. Responsibilities include defining AI governance, reference architectures, evaluation frameworks, guardrails, observability, risk controls, and delivery standards. Partners with engineering, product, data, cybersecurity, compliance, audit, and risk teams to improve AI delivery flow, manage dependencies, advise senior leaders, and measure outcomes across multi-quarter transformation programs.

Leads the strategy, engineering, and operations of enterprise-scale Snowflake data platforms supporting approximately 600 million daily transactions. Directs multiple engineering teams, drives agentic AI-enabled engineering practices, delivers secure and governed data products, and ensures platform scalability, resilience, observability, data quality, and cost efficiency. Partners across Finance, Risk, Operations, Sales, and Marketing while managing complex global initiatives and developing high-performing engineering talent.

Leads cybersecurity engineering teams developing enterprise security solutions across multiple technology domains. Clarifies security requirements, supports multi-level network security, performs threat modeling and vulnerability assessments, and advises leaders during security risks. Uses and validates enterprise-authorized AI for risk analysis, documentation, security testing, and control validation while ensuring data sensitivity, auditability, and resiliency. Coaches, develops, hires, and recognizes engineering talent.

Lead financial planning, forecasting, reporting, business case modeling, and cost optimization for public cloud and AI infrastructure. Partner with technology, finance, planning, and product leaders to improve spending transparency, develop chargeback methodologies, manage financial risks, and support executive decision-making. The role drives cloud financial management transformation and enterprise-wide efficiency initiatives.

Leads risk-based internal audit engagements across planning, control testing, documentation, reporting, and issue monitoring. Evaluates internal controls, risk management, governance, regulatory compliance, and business processes; identifies deficiencies and recommends corrective actions. Supervises and mentors auditors, reviews workpapers, ensures audit quality and deadlines, and communicates findings to business leaders and senior management.

Support enterprise AI governance by tracking metrics, valuations, and strategic initiatives; building dashboards and executive materials; analyzing data; improving governance workflows; and coordinating cross-functional projects. The role uses Excel, Alteryx, SQL, and visualization tools to monitor compliance, automate reporting, and generate actionable insights while staying current with AI/ML governance practices.

Leads security engineering for SaaS Intelligence, including scalable SaaS application onboarding, connector development, integration validation, testing, quality controls, governance, and incident remediation. Manages engineering delivery, resources, budgets, and stakeholder relationships while developing engineers and enforcing standards for code, APIs, security, AI-assisted workflows, resiliency, and auditability.

Leads end-to-end generative and agentic AI initiatives, from research and experimentation through production deployment. Designs foundation-model solutions, evaluation frameworks, semantic modeling standards, and responsible AI controls. Partners with product, engineering, risk, and business stakeholders to define outcomes, optimize reliability and performance, and deliver scalable AI services. Mentors engineers and data scientists while communicating technical recommendations to diverse audiences.

Leads transformation of demand and revenue planning processes, data, systems, automation, and analytics. Partners with business leaders, IT, and technology vendors to prioritize initiatives, design solutions, improve data quality, implement integrations, develop dashboards and AI use cases, and drive adoption. The role also manages transformation roadmaps, benefits realization, executive communication, training, documentation, and continuous improvement.

Architects and develops systems software for emerging memory and storage technologies, with emphasis on AI inference stacks and heterogeneous computing. Responsibilities include Linux application and library development, emulator creation, system-level debugging, accelerator programming, performance evaluation, technical leadership, cross-functional collaboration, mentoring, and presenting technical findings. The role requires expertise across AI frameworks, inference engines, operating systems, kernels, hardware interfaces, memory hierarchies, and distributed serving systems.

Research and evaluate memory architectures for generative AI, GPUs, TPUs, and other accelerator platforms. Develop system-level models measuring performance, power, scalability, and efficiency across memory and compute architectures. Investigate HBM, DRAM, cache, storage, and interconnect optimizations, including compute-near-memory concepts. Collaborate with cross-functional teams to translate research findings into architecture recommendations, product strategies, and long-term technology roadmaps.

The Senior AI Governance Analyst assesses and monitors AI-related risks, validates models, develops quantitative analyses, and recommends controls and mitigation strategies. The role produces reports, visualizations, and communication materials for governance discussions and senior leadership, supports risk and compliance processes, and mentors colleagues through peer review. It collaborates across business, technology, risk, and leadership teams to strengthen responsible AI practices in a regulated environment.

Supports enterprise AI governance by assessing AI-related risks, monitoring controls, applying quantitative analytics, producing data visualizations, and communicating insights to cross-functional teams and governance committees. The role may involve stress testing, model validation, model risk reporting, regulatory and audit support, and risk mitigation planning within a regulated financial-services environment.

Leads technology risk and controls for infrastructure platforms by identifying, assessing, reporting, and mitigating operational and compliance risks. Evaluates control effectiveness, manages governance and issue remediation, advises technology process owners, and communicates risk posture to senior stakeholders and regulators. Uses validated enterprise AI capabilities to streamline risk evidence synthesis, control testing, and executive reporting while maintaining security, auditability, and regulatory compliance.