Artificial Intelligence Jobs in Richardson, TX

Support traded-products counterparty credit risk analysis by monitoring exposures, sizing limits, and improving exposure methodologies and tooling. Partner with sales, trading, credit officers, quantitative research, technology, and operations to perform deep dives, report risks, form risk appetite views, and drive AI-enabled workflow improvements and firmwide initiatives.

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 enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Lead a Compliance Testing team for US Card, managing rapid response and control review testing, test calendar execution, technology-enabled testing transformation, stakeholder engagement, senior reporting, and audit/exam responses.

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.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

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.

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.

Design, develop, and troubleshoot secure, scalable production code and ML platforms. Drive enterprise adoption of AI-assisted engineering practices, automate remediation, evaluate vendor solutions, apply SDLC/CI-CD, and ensure responsible AI, data sensitivity, resiliency, and operational stability.

Design, develop, deploy, and maintain secure, scalable ML platforms and application code. Drive adoption and validation of enterprise-authorized AI-assisted development practices, automate remediation and operational stability, lead vendor evaluations, and coach teams on responsible AI, resiliency, and secure SDLC practices.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Lead full-stack engineering efforts to design, build, and operate cloud-native Java/JavaScript/Python applications and scalable data pipelines. Develop and deploy AI/ML models (cloud and edge), integrate streaming systems (Kafka), manage AWS infrastructure, drive AI-assisted development practices, and provide technical leadership across architecture, code quality, and operational excellence.

Lead design, build, and deploy enterprise-grade AI solutions (RAG, agentic systems, LLM integrations). Use AI-assisted development tools daily, architect scalable secure systems on AWS, write production code, own end-to-end outcomes, evaluate vendors, and drive cross-team alignment and automation to improve operational stability.

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 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 design, development, and production deployment of advanced AI/GenAI and LLM solutions. Build and tune models, integrate generative AI into ML platforms, drive MLOps adoption, ensure responsible AI governance, collaborate cross-functionally, and mentor AI engineers.

Lead software and ML engineering for scalable, secure production systems. Author and review code, drive AI-assisted engineering practices, design ML pipelines and deployment/monitoring, automate remediation, evaluate vendors, and mentor teams on responsible AI and MLOps.

Lead design and production of generative and agentic AI solutions, build ML pipelines and MLOps, define enterprise semantic modeling and ontology governance, implement RAG and responsible AI practices, and mentor engineers while partnering with stakeholders to deliver measurable business outcomes.

Define and drive vision, strategy, and roadmap for AI-powered merchant products using LLMs and agentic workflows. Size commercial opportunities, develop business cases, lead pilots through production, partner with engineering and data science, embed governance and responsible AI, and track product performance and adoption.

Support design, delivery, and commercialization of AI-powered payments products: manage roadmaps and backlogs, define requirements with engineering/design, run experiments and prompt/model evaluation, conduct market and user research, monitor product performance, and support launches and adoption.

Lead design and build agentic AI systems and production services, author secure high-quality code, create architecture artifacts, improve observability and testing, drive AI-assisted engineering adoption, and ensure privacy/security/compliance across end-to-end solutions.

Lead a portfolio of cloud-native full‑stack and SRE projects, mentor engineers, collaborate with product managers, and deliver resilient AWS/GCP/Azure services using Java, Python, containers, orchestration, and observability tooling.