Artificial Intelligence Jobs in Richardson, TX

Design and optimize high-performance DRAM architectures for AI workloads, collaborating with cross-functional teams to validate and improve memory solutions.

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.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

The Chief Compliance Officer will drive operational excellence and oversee regulatory compliance while managing investment operations and financial oversight.

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.

The Senior Manager, Information Security Office (ISO) Consultant role involves leading cybersecurity strategies, securing AI/ML systems, and advising senior leadership on risks and governance in AI innovation.

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.

Lead relationship management with multifamily owners and DUS lenders, structure transactions with credit/legal/risk partners, deliver training, promote Fannie Mae products, and advise management on customer engagement and best practices to support loan delivery and customer network development.

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.

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 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.

The Director of Sales will lead growth for DXC's Cross Industry Solutions, focusing on expanding strategic accounts and driving revenue through complex deals in various industries.

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 Manager will lead mainframe foundational products, collaborating with teams to develop the product vision, roadmap, and feature prioritization, while ensuring customer adoption and satisfaction.

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.

Drive DRAM layout activities for AI-optimized memory architectures, performing floorplanning, placement, routing, full-chip integration, LVS/DRC verification, and cross-domain collaboration to deliver analog, mixed-signal, and custom digital layout designs and feasibility studies.

The AI Integration Sr. Analyst will design and deploy AI agents for risk management, mentor developers, and ensure compliance with standards.

Lead feature delivery for AI/ML and search platforms powering virtual financial assistants. Provide technical direction, design and integrate AI/LLM models, ensure quality, mentor engineers, manage backlog and deploy/optimize AI workloads across CPU/GPU and cloud while enforcing security, observability, and responsible AI practices.

Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Provide technical leadership and manage project priorities. Fine-tune foundation models and build adapters (Llama Factory, PEFT). Apply RAG techniques to populate and query vector databases (Weaviate). Build custom applications using LLM frameworks such as LangChain and DSPy.

Design, build, and deploy production-ready AI systems and agents using Python and LLMs. Implement RAG pipelines, vector embeddings, and semantic search. Integrate AI features via REST APIs and microservices, apply prompt engineering, monitor performance, and collaborate with cross-functional teams to deliver reliable, scalable AI-powered applications.

On-site senior engineer and client-facing technical lead responsible for designing and delivering LLM-powered features (RAG, agentic architectures), integrating OpenAI/Anthropic/Azure OpenAI, writing production full‑stack code, coordinating offshore teams, owning delivery end-to-end, and representing ISHIR in executive stakeholder meetings.

Lead architecture, development, testing, and deployment of scalable Data & AI applications. Build data models and pipelines, design APIs and microservices, optimize cloud/on-prem platforms for performance and cost, mentor teams, and drive high-impact projects with minimal oversight.

Lead architecture and development of a scalable, real-time Platform Chat product using LLMs and agent frameworks. Build orchestration layers, workflow automation, LLM integrations, and systems for observability, safety, and performance while mentoring engineers and collaborating with product and data science teams.

The AI & Automation Lead will execute AI and automation projects to enhance operational efficiency, drive growth, and improve customer experiences, while collaborating cross-functionally and measuring success through defined KPIs.