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

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $229,900 - $262,400 for Sr. Manager, AI Engineer
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/Sr-Manager--AI-Engineer--Gen-AI-Platform-Services--Agentic-AI--Guardrails--Evaluation-_R1001057-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_646f4405-a80

## Description

At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

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.

**Responsibilities:**

- 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

- 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

- 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

- 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 adapt quickly and thrive on bringing clarity to big, undefined problems

- You are deeply Technical

- 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 solutions on cloud platforms

- Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang

- Experience in building agentic AI systems and agentic workflows

- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

- Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery

- Familiarity with MLOps, AI observability

- Track record mentoring engineers/scientists to productize prototypes and meet production SLOs

- Experience right-sizing models, instance counts, and hardware types given requirements

**Salary Information:**

- Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer

- McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer

- New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer

- San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer

- San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer

## Skills

### Required
- AI
- Machine Learning
- Python
- C++
- Java
- Cloud Platforms

### Nice to have
- Agentic AI systems
- MLOps
- AI observability
- Leadership
- Communication

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/Sr-Manager--AI-Engineer--Gen-AI-Platform-Services--Agentic-AI--Guardrails--Evaluation-_R1001057-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)