Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Salary: $197,300–$225,100 / yr
Posted: 64 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k

This role $211k

$166k most similar roles pay here $268k

This role pays less than 51% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $211k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Apply Now Log in to save

As a Lead AI Engineer on the MLX team, you will drive the development of agentic and generative AI platforms, focusing on creating scalable services that enhance user interaction and experience. Your day-to-day responsibilities include designing and implementing advanced machine learning models, collaborating with cross-functional teams to integrate AI solutions into existing systems, and mentoring junior engineers. You should be proficient in Python, familiar with frameworks like TensorFlow or PyTorch, and have a strong background in natural language processing and large-scale data management. The role requires expertise in cloud services such as AWS or Azure for deploying machine learning models at scale, and an understanding of the latest advancements in agentic AI and generative pre-trained transformers (GPT).

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Notebook Prometheus Grafana

What you'll do

Design and implement advanced machine learning models for agentic AI systems.
Develop scalable platforms to support generative AI services and applications.
Conduct research on cutting-edge MLX techniques to enhance existing solutions.
Optimize algorithms for efficiency, ensuring fast processing times and low latency.
Integrate new AI technologies into existing infrastructure seamlessly.

What we're looking for

Minimum of 5 years experience in machine learning and artificial intelligence.
Proven track record in developing and deploying agentic AI systems.
Strong background in building and scaling gen AI platform services.
Expertise in multiple programming languages relevant to AI development.
Experience with cloud-based AI solutions and infrastructure management.
Hold a Bachelor’s degree in Computer Science, Engineering, or related field.

Save