Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

Capital One; Cambridge (MA); Sur place; USD 210 000 - 260 000; Plein temps

Résumé du poste

Capital One is seeking a Sr. Manager, AI Engineer to lead AI platform services, including Gen AI, Guardrails, Evaluation, and responsible AI practices. You will guide cross-functional teams across engineering, research, PM, and data to deliver scalable AI-powered banking solutions.

You will oversee model training, inference, governance, observability, and deployment, driving state-of-the-art foundation model optimization and long-term AI vision for Capital One.

Qualifications

• Bachelor's or Master's with required years of AI/ML experience as stated.
• At least 1 year of people leadership experience.
• Experience building and leading AI/ML platforms and teams.

Responsabilités

• Partner with cross-functional teams to deliver AI-powered products.
• Oversee design, development, testing, deployment and support of AI software components.
• Make high-judgment build-vs-buy decisions across OSS and SaaS AI technologies.
• Invent optimization techniques to improve performance, latency, and cost.
• Contribute to long-term technical vision and roadmaps for foundational AI systems.
• Attract and retain top AI talent and foster team learning and growth.
• Translate enterprise goals into actionable team roadmaps with measurable outcomes.
• Operationalize Responsible AI with gates, docs, and rollout standards.
• Collaborate with Research, Data, and Platform teams to accelerate model lifecycle.

Connaissances

People leadership

System design

ML/DL algorithms

Hardware optimization

Build-vs-buy decisions

Formation

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Description du poste

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

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
• Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts
• Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems
• Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle

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

Basic Qualifications:

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
• At least 1 year of people leadership experience

Preferred Qualifications:

• 3 years of experience managing and leading an engineering team
• 6 years of experience deploying scalable and responsible AI