• 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

• Quantphi is seeking a Technical Leader to drive our AWS AI/ML business. • The AI/ML Leader is responsible for the overall technical strategy, planning, technical solutions and execution in driving Quantiphi’s AWS AI/ML business. • Help define and drive our AWS AI/ML technical strategy in collaboration with the AWS Global Leader, sales, GTM and other supporting teams. • Lead pre-sales technical discussions with customers and partners. • Assist with the creation of proposals, statements of Work, presentations and other materials needed to acquire new business. • Be the subject matter expert on Quantiphi’s AI/ML and related capabilities and offerings. • Interact with AWS leadership to understand current and future product features, releases and products. • Formulate Quantphi’s AWS AI/ML strategy (Solutions, offerings, sales strategy, etc.). • Engage deeply with AWS sales, partner and AI/ML specialists. • Work with Sales in support customer pursuits and practice revenue growth. • Drive the strategy and section for the creation of packaged offerings and solutions in order to attain revenue targets. • Develop of best practice and knowledge sharing through a number of methods (e.g. blogposts, white papers, articles, prototypes, proof of concepts, workshops, demos, breakout sessions). • Assist in successfully delivering Customer engagements using AWS Ai/ML products and related solutions. • Working and building relationships with client technology leaders (C-Level, VPs, Directors, etc.) to harness the benefits cloud call center technologies. • Conduct knowledge sharing or training sessions on cloud or Quantiphi capabilities. • Maintaining your technology edge by continuing to grow your technology acumen through continuous research and learning of future trend.

• Dual-Stream Delivery Model: Split your time between Active AI User Support & Structured Troubleshooting (Stream 1) and Proactive Development & Knowledge Engineering during idle-time capacity (Stream 2). • PDCA-Driven Incident Management: Perform severity-based triage, structured root cause analysis (RCA), and document detailed case management logs and technical reports. • AI Agent and Tooling Development: Create internal tools, automation scripts to streamline troubleshooting workflows, and implement custom agents within the Claude AI platform. • Knowledge Engineering and Curation: Create, review, and publish technical articles, best practices manuals, and standardized resolution playbooks. • Performance Indicator Tracking: Monitor and report crucial operational metrics such as Average Handling Time (AHT), First Response Time (FRT), First Time Resolution (FTR) rate, SLA compliance, and AI agent adoption rates. • Operational Cadence and Ceremonies: Integrate into the client's operational framework, actively participating in Daily Stand-ups, Weekly Service Reviews, and Monthly Governance meetings.

• Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability. • Collaborate closely with front-end engineers to build dynamic, responsive, and user-centric web applications that deliver seamless user experiences. • Define robust data models and database schemas, and manage relational or NoSQL databases with a strong emphasis on data integrity and performance optimization. • Direct and govern AI coding agents across the delivery lifecycle, setting context, reviewing agent-generated output, and enforcing SEPS delivery standards at every gate. • Design and maintain agent workflows using agentic coding tools (Claude Code, Cursor, Copilot) and the AI-native development framework, ensuring structured, auditable, and high-quality delivery. • Configure and maintain prompt engineering patterns, structured output schemas, with rules and guardrails to align agent behavior with SEPS platform standards. • Trace, debug, and triage agent tool calls, prompt failures, and unexpected outputs, maintaining visibility into AI-assisted delivery at every stage. • Create and maintain clear, comprehensive documentation for application architecture, design, configuration, and ongoing maintenance. • Provide accurate task estimations and delivery timelines, contributing to effective sprint planning and execution. • Participate in the on-call rotation, responding promptly to production issues and ensuring system stability and uptime. • Mentor and support junior engineers, fostering a culture of AI-native ways of working, learning, and continuous improvement.