Artificial Intelligence Jobs in Plano, TX

Owns the vision, roadmap, prioritization, and lifecycle of enterprise AI infrastructure supporting model development and inference at scale. Partners with technology, security, finance, audit, risk, and business stakeholders to align roadmaps, budgets, requirements, and risk management. Leads product selection, RFx activities, feature prioritization, and communication with senior leadership while overseeing product performance, inventory, lifecycle, and overall health.

Leads development of resilient, scalable software and AI/ML platform services using Python and Java. Drives AI-assisted engineering practices, mentors teams, integrates enterprise systems, and builds fraud-detection and risk-assessment ML pipelines. Designs feature-store, model deployment, monitoring, and agentic AI components with production guardrails, governance, security, and auditability. Collaborates with architects, data scientists, business stakeholders, and infrastructure teams in an agile environment.

Develop and support enterprise Generative AI applications, LLM integrations, RAG solutions, AI agents, chatbots, and intelligent automation using Python and cloud AI services. Build APIs, data pipelines, and vector database integrations; support model evaluation, deployment, monitoring, MLOps, and LLMOps. Collaborate with technical and business teams, troubleshoot systems, document solutions, and participate in Agile development.

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 enterprise transformation and product lifecycle initiatives within Merchant Services. Defines business outcomes, prioritizes AI and automation opportunities, redesigns workflows, drives organizational adoption, establishes success metrics, embeds risk and regulatory controls, and leads operating-model and organizational changes. Partners with senior leaders and cross-functional teams while building transformation capabilities through training, coaching, change communities, and managed portfolios.

Build and scale production-grade generative AI applications for property technology. Develop agentic workflows, RAG pipelines, prompt and guardrail systems, multimodal integrations, and AI-powered user experiences. Create supporting front-end and back-end services, evaluation and observability pipelines, and scalable cloud deployments. Collaborate with product, design, data science, and engineering teams while owning AI features from ideation through deployment and maintenance.

Leads the strategy, architecture, and delivery of agentic and generative AI platforms. Designs scalable systems using foundation models, RAG, multi-agent workflows, retrieval technologies, and AI observability. Establishes reusable AI services, evaluation and governance standards, and responsible AI practices. Mentors AI engineers and data scientists, partners with executives and product stakeholders, and manages performance, reliability, security, and cost optimization for production AI systems.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Owns the roadmap for AI, automation, and process transformation initiatives. Identifies business opportunities, leads discovery workshops and pilots, translates needs into product requirements, and partners with business and technology teams to deliver scalable solutions. Measures adoption, operational impact, customer outcomes, and value realization while supporting governance, security, responsible AI, and organizational change. Requires product ownership experience, property and casualty insurance expertise, Agile/Scrum experience, analytics skills, and strong cross-functional leadership.

Provides first-line information security risk advisory expertise focused on Identity and Access Management. Assesses risks, processes, and controls; advises stakeholders and management on risk resolutions; communicates risk considerations; and supports business decisions in a regulated environment. The role requires applying analytical methods, sound judgment, and business context to strengthen risk management practices and address evolving regulatory expectations.

Owns the roadmap, strategy, risk management, and continuous improvement of data platforms supporting financial-crime analytics, detection models, investigations, and AML operations. Responsibilities include requirements gathering, backlog prioritization, agile delivery, data analysis, model lifecycle management, monitoring, issue remediation, governance, and stakeholder communication across business and technology teams.

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.

Leads global product process excellence and business transformation initiatives, converting drawing-based product knowledge into structured, governed digital definitions. Oversees product configuration, engineering platforms, PLM and ERP integrations, digital thread strategy, process standards, AI adoption, and organizational change. Partners across product development, manufacturing, IT, business transformation, and regional teams to improve data quality, traceability, configuration accuracy, order handoff, and manufacturing readiness.

Own and exceed sales targets across renewals, expansions, and new business for managed security solutions. Prospect, present, close, manage pipelines and forecasts, build client relationships, attend industry events, and collaborate with marketing, legal, technical, and channel teams. The role also involves improving AI-enabled sales tools and traveling domestically and internationally, including to the Netherlands, with potential progression into North American sales leadership.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads the engineering organization for a firm-wide software dependency risk platform. Responsibilities include hiring and managing engineers and engineering managers, owning platform architecture and roadmap on AWS and Java, building data ingestion and dependency graph capabilities, establishing AI-first development practices, and driving responsible AI governance, security, resiliency, and adoption across a complex enterprise.

Leads enterprise technology, architecture, and AI strategy across transformation initiatives. Defines technical roadmaps, architectural standards, governance frameworks, reference architectures, and responsible AI practices. Evaluates emerging technologies, drives proofs of concept and modernization, aligns investments with business priorities, and accelerates AI adoption. Partners with executives and cross-functional leaders, influences technical direction without direct authority, mentors senior engineers and architects, and represents the organization as a technology and AI thought leader.

Develop and prepare multi-dimensional semiconductor layouts from schematics, lead major block developments, verify data integrity, debug physical verification issues, mentor juniors, improve automation and layout methodologies, and coordinate with global design, verification, and CAD teams.

Develop and support scalable software and AI-powered applications for Bank of America’s conversational AI, search, and virtual assistant platforms. Responsibilities include designing architecture, coding, testing, building RESTful APIs and microservices, implementing Generative AI and RAG solutions, automating CI/CD and releases, troubleshooting production issues, and supporting deployment and monitoring. The engineer will collaborate in Agile teams, contribute to technical decisions, conduct code reviews, and mentor other engineers.

Designs, develops, and deploys agentic AI solutions and process automation for Samsung care operations. Responsibilities include multi-agent workflows, MCP servers, enterprise API integrations, databases and vector stores, low-code automation, cloud environments, CI/CD, monitoring, process analysis, and AI governance. The role leads use cases from proof of concept through production, collaborates with business stakeholders and Korea HQ, and communicates technical implementations to nontechnical audiences.

Oversee daily office operations, front desk and administrative staff, facilities maintenance, security procedures, supplies, mail, meetings, events, budgets, expenses, and vendor relationships. Provide administrative support to executives and onsite personnel, assist with HR onboarding, troubleshoot office technology, coordinate repairs, and implement process improvements. The role may serve as Facility Security Officer, requires Secret clearance and U.S. citizenship, and involves local travel to Texas offices.

Lead design and deliver cloud-native microservices and AI/LLM-driven features. Architect scalable, secure systems, drive AI-assisted engineering practices, improve observability/automation, mentor teams, and integrate generative AI into business workflows.

Lead hands-on engineer designing and modernizing cloud-native, reliable, and automated software solutions. Drive adoption of enterprise AI-assisted engineering practices, build automation frameworks, support performance and resiliency testing, lead code reviews, and communicate technical strategy and reliability standards across teams.

Lead RTL development and microarchitecture for an AI-enabled RISC-V CPU core, including vector and matrix engines. Own functional features, performance, power, area, timing, and physical design considerations. Develop specifications, optimize RTL, support verification, and collaborate on CPU modeling, design verification, and SoC integration. The role requires deep expertise in high-performance CPU architecture, cache and memory subsystems, SystemVerilog or related HDL technologies, and advanced processor design.