Artificial Intelligence Jobs in Plano, TX

Develop and prepare multi-dimensional semiconductor device layouts from schematics, verify data integrity and design-rule compliance, lead major block developments, mentor junior designers, improve layout efficiency via automation/AI, and collaborate across global design, verification, and CAD teams to meet schedules and deliver quality layouts.

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.

Lead and scale a data engineering and analytics platform team to deliver Snowflake and Databricks-based AI/ML solutions. Drive architecture, build AI-powered data agents, ensure data pipelines, governance, and platform reliability, and partner cross-functionally to align delivery with business goals while developing talent and vendor/offshore strategies.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

Design, build, and maintain AI agents, applications, and automations for finance stakeholders. Translate ambiguous business questions into decision-ready answers, shape data models and semantic views (dbt on Snowflake), prototype rapidly with AI coding tools, and partner closely with business users to deliver production-grade solutions.

Lead Cisco's IP strategy for AI by developing policies and documentation standards for patents, copyright, and trade secrets; run copyright and trade-secret programs; advise on AI-related patent strategies and vendor agreements; and translate legal and regulatory developments into executive-ready guidance.

Serve as a technical-sales liaison for Single-Family Market Engagement, advising internal teams, identifying opportunities, supporting customer engagement, delivering technical training, promoting Fannie Mae products, and communicating customer feedback to product teams to drive adoption and improve offerings.

As a Member of Technical Staff, design and implement high-performance memory solutions for AI, focusing on microarchitecture, performance, power, and reliability.

Lead efforts to identify, mitigate, and recover from disruptions to business processes and critical technology. Develop, update, and test contingency and recovery plans; advise stakeholders; define resilience indicators; integrate risk management practices; and use data and tooling to inform continuity strategies and improve operational resilience.

Lead cross-functional initiatives to improve business processes and operational efficiency for the Loan Quality Center. Manage projects from intake through implementation, analyze and transform data to inform decisions, identify process improvements, manage risks and stakeholders, and deliver scalable, technology-enabled solutions.

Lead and scale multiple AI-focused engineering teams to design, build, and deploy production-grade LLMs and generative AI solutions. Drive MLOps, low-latency inference microservices, CT/model lineage, and full-stack AI integrations with web and mobile frontends while partnering with product and data science.

Design, build, and operate AI-enabled GTM workflows and consolidate technical ownership of marketing platforms (Marketo, Outreach, Bizible, Asana, Salesforce). Build API integrations, automation scripts, and lightweight internal tools; support platform governance, documentation, data hygiene, and AI literacy across Marketing.

Lead AI/ML-focused information security for enterprise agentic capabilities. Advise projects and CSOC teams on threat mitigation, compliance, automation, monitoring, and incident response. Partner with engineering and stakeholders to secure cloud, generative AI, and customer servicing platforms while driving data-driven decisions and continuous improvements.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

Lead design, enhancement, and maintenance of the bank's data warehouse and analytical platforms. Drive data engineering best practices, support ML/predictive capabilities, manage production issues, automate processes, collaborate on feature design, and mentor engineering teams while partnering with PMO on Agile delivery.

Lead vision, strategy, and roadmap for Open Mainframe Solutions (Zowe and related tools). Advocate customer needs to R&D, prioritize features, unblock cross-functional teams, drive GTM and adoption, measure KPIs, and maintain executive and customer relationships to ensure product success.

Lead and execute an AI-driven automation and data strategy for global hyperscaler delivery programs. Define roadmap, prioritize use cases, lead a matrixed global team to build scalable automation tooling, enable AI/ML-driven operations, define data standards and metrics, and partner with engineering and commercial teams to industrialize and measure automation ROI.

Lead sourcing and contracting for software, SaaS, cloud applications, licenses, and renewals. Partner with stakeholders to define sourcing strategy, run RFx events, evaluate proposals, negotiate commercial and contractual terms, analyze spend and usage to identify savings and risk reduction, and support contract execution using procurement tools and emerging technologies including AI.

As a Staff Software Engineer, you will lead technical strategies, develop APIs and microservices, and mentor engineers for innovation at GEICO.

Lead design and standardization of LLM-based application architectures, prompts, agents, and RAG pipelines. Build evaluation frameworks, developer tooling, safety guardrails, and mentor teams while optimizing latency, cost, and reliability for production LLM products.

Build and operate petabyte-scale data pipelines for AI training and evaluation. Responsibilities include ingestion for multimodal data, cleaning, deduplication, versioning, lineage, high-throughput loading for accelerator training, labeling and human-in-the-loop workflows, storage architecture, privacy controls, observability, cost/performance optimization, and collaboration with ML researchers.

Design and ship production-grade ML systems from problem framing to deployment. Prototype and evaluate models across NLP, vision, recommendation, and structured data. Build training/inference pipelines, implement rigorous experimentation and monitoring, optimize for accuracy/latency/cost, ensure safety and fairness, document findings, and mentor engineers while influencing the AI roadmap.

Design, build, and deploy AI-powered automations, agent configurations, and workflows to streamline ops. Scope priorities with ops leaders, measure impact via dashboards, iterate on production systems, evaluate agent outputs, and define best practices for AI tooling across the ops division.

Lead development and delivery of Fannie Mae's enterprise AI platform capabilities, balancing innovation with security, governance, and cost controls. Own product vision, roadmaps, and core services (models, tooling, agent runtimes), partner with engineering, security, finance, legal, and business teams, onboard priority use cases, and drive adoption through strong stakeholder engagement and developer experience.

Develop and deploy end-to-end ML solutions for smart manufacturing: build data pipelines, feature engineering, CV and LLM-based models (RAG/agentic workflows), prototype and productionize models, implement monitoring/retraining, and collaborate with cross-functional teams using modern development and CI/CD practices.