Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

Capital One Group; United States; Remote; USD 250,000 - 350,000; Full time

Job summary

Capital One is seeking a Senior Director of AI Engineering to lead the Agentic AI Platform, with remote eligibility. You will guide the design and execution of scalable, responsible AI systems across the enterprise.

As a senior leader, you will mentor teams, shape the AI strategy, and ensure governance and observability across AI initiatives while partnering with engineering, research, risk, and data stakeholders.

Qualifications

• Bachelor's Degree in Computer Science, AI, El

Responsibilities

• Partner with engineers, researchers, PMs to deliver AI-powered products.
• Oversee design, development, testing, deployment, and support of AI software components.
• Make build-vs-buy decisions across OSS and SaaS AI tech (e.g., PyTorch, HuggingFace).
• Invent and introduce state-of-the-art foundation model optimization techniques to improve performance, scalability, cost, latency, and throughput.

Education

Bachelor's Degree in Computer Science, AI, El

Job description

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

What You'll Do:

• 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, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model 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.
• Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles
• Establish a multi-year roadmap for scalable, reliable, and compliant AI systems that serve as shared infrastructure across the enterprise
• Champion Responsible-AI, ensuring ethical, transparent and explainable model practices are embedded in all lines of business
• Oversee the scaling of AI operations - including model lifecycle management, observability, and cost efficiency - across hundreds of production use cases

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
• You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

Capital One is open to hiring a Remote or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations

Basic Qualifications:

Bachelor's Degree in Computer Science, AI, El