LLM Engineer

• lead the product marketing strategy for Cisco’s AI infrastructure portfolio
• connect technical capabilities to the business outcomes customers require for AI workloads and AI-native applications
• define the narrative, positioning, messaging, launch strategy, and sales enablement required to power secure, connected, AI-ready organizations
• partner with Product Management, Engineering, Sales, Corporate Marketing, Analyst Relations, and Communications
• translate sophisticated infrastructure innovation into market value
• drive cross-functional alignment
• equip the business to win with enterprise buyers and executives

Director of Product Marketing Strategy – AI Infrastructure

Machine Learning Engineer

• Architect and integrate hybrid AI systems.
• Design and deploy scalable AI architectures.
• Lead the full AI/ML lifecycle.
• Engineer event-driven data pipelines and feature stores.
• Ensure Responsible AI practices.
• Implement and maintain MLOps pipelines.
• Transition R&D prototypes into production.
• Provide technical leadership and mentorship.
• Collaborate across engineering, data, and modeling teams.
• Support proposal and solution development.

Distinguished AI/ML Engineering Lead

AI Research Scientist

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

AI Research Scientist, Applied AI

• Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale.
• Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured and unstructured data.
• Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows.
• Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance.
• Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production.
• Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls.
• Optimize AI systems for scalability, latency, reliability, and cost efficiency.

AI Machine Learning Scientist

AI Engineer

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including foundation model training and large language model inference.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, and PyTorch.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems.
• Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.

Senior Lead AI Engineer, Gen AI Platform

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
• Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
• Foster a culture of learning and staying abreast of the state-of-the-art in AI.

Senior Manager, AI Engineering – Gen AI Platform Services

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Lead AI Engineer – MLX, Agentic AI, Gen AI platform Services

Lead AI Engineer – Vision Model Customization, VLM

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

Senior Machine Learning Engineer, AI Foundations

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models.
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Lead Machine Learning Engineer

Lead Machine Learning Engineer – Manager IC

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models,
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Senior Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

• Deployment and integration of computer vision solutions for next-generation satellite imagery analytics.
• Ensure high-quality and production-ready Python or Go code.
• Manage cloud infrastructure and code deployment to AWS, Kubernetes, or other environments.
• Take part in the entire project lifecycle from requirements development to deployment.
• Serve as a lead on MLOps software development projects, data ETL projects, and software feature development.
• Collaborate with management and technical team on technical roadmap and implementation strategy.

Staff Software Engineer, Machine Learning Operations

• Architect the ranking backbone for query understanding and personalization
• Design and build a search autosuggest system
• Develop production-grade Multi-Task Learning
• Own the inference layer for quality optimization
• Advance evaluation practices for long-horizon metrics
• Partner across teams to translate business goals into ranking policies
• Mentor ML engineers in ranking expertise

Senior Machine Learning Engineer II, Search & Recommendations Ranking

Senior Lead AI Engineer, Inference Optimization, FM Hosting, AI Platform

Lead AI Engineer, FM Hosting, LLM Inference

• Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products.
• Design, build, and deliver AI-powered products and components that solve real-world business problems.
• Collaborate with a cross-functional team to develop and scale AI-powered products.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Retrain, maintain, and monitor models in production.

Senior Lead Machine Learning Engineer – Intelligent Foundations, Experiences

• Responsible for researching, designing, developing, and implementing Artificial Intelligence (AI) solutions
• Work with identity architects, cybersecurity engineers, data analysts, software developers, and mission stakeholders
• Identify opportunities where AI can improve identity analytics, access governance, operational efficiency, cybersecurity, and decision support
• Help establish and mature AI capabilities across the ICAM ecosystem by leveraging machine learning, generative AI, predictive analytics, natural language processing, and intelligent automation technologies
• Support the full lifecycle of AI initiatives from concept development and experimentation through production implementation and sustainment
• Ensure compliance with DoW security requirements and responsible AI principles
• Design, develop, test, and implement AI and machine learning solutions supporting enterprise ICAM objectives
• Identify opportunities to improve identity governance, access management, onboarding processes, and operational workflows through AI-driven capabilities
• Develop predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data
• Collaborate with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services
• Evaluate emerging AI technologies and recommend solutions applicable to ICAM, Zero Trust, and cybersecurity use cases
• Develop proof-of-concepts, prototypes, and pilot programs to validate AI capabilities before enterprise adoption
• Provide technical leadership and subject matter expertise regarding AI technologies and industry best practices.

See all jobs on JobTailor

Director of Product Marketing Strategy – AI Infrastructure

Distinguished AI/ML Engineering Lead

AI Research Scientist, Applied AI

AI Machine Learning Scientist

Senior Lead AI Engineer, Gen AI Platform

Senior Manager, AI Engineering – Gen AI Platform Services

Lead AI Engineer – MLX, Agentic AI, Gen AI platform Services

Lead AI Engineer – Vision Model Customization, VLM

Senior Machine Learning Engineer, AI Foundations

Lead Machine Learning Engineer

Lead Machine Learning Engineer – Manager IC

Lead Machine Learning Engineer – Manager IC

Senior Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

Staff Software Engineer, Machine Learning Operations

Senior Machine Learning Engineer II, Search & Recommendations Ranking

Senior Lead AI Engineer, Inference Optimization, FM Hosting, AI Platform

Lead AI Engineer, FM Hosting, LLM Inference

Senior Lead Machine Learning Engineer – Intelligent Foundations, Experiences

AI Engineer – ICAM