Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One Financial

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CAMcLean, VACambridge, MANew York, NY
Salary
$229,900–$262,400 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $246k
$175k most similar roles pay here $272k

This role pays more than 79% of similar roles. Most pay $186,375–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

As a Senior Manager of AI Engineering at the Gen AI Platform Services team, you will oversee the design and development of advanced AI software components such as foundation model training, large language model inference, and similarity search systems. Your responsibilities include making strategic build-vs-buy decisions across a range of open-source and SaaS technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. You will also mentor and coach your team to foster professional growth while maintaining hands-on involvement when necessary. This role requires expertise in AI engineering and strong leadership skills to drive innovation within a large-scale enterprise environment.

What you'll do

  • Oversee the design and development of AI software components including model training and inference.
  • Make strategic build-vs-buy decisions on a wide range of open-source and SaaS AI technologies.
  • Ensure robust testing, deployment, and support for AI systems across various platforms.
  • Drive professional development through mentoring and coaching engineering team members.
  • Lead by example in technical decision-making and problem-solving.

What we're looking for

  • At least 1 year of people leadership experience in engineering teams.
  • Deep technical expertise in AI software development and deployment.
  • Experience making build-vs-buy decisions across a broad stack of AI technologies.
  • Proven ability to mentor and coach team members for professional growth.
  • Hands-on experience with Open Source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs.

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