below marketmost similar roles pay hereabove market
This role pays more than
84%
of similar roles. Most pay
$192,050–$246,150
— the blue band above.
At the midpoint, this role pays about
$246k
versus about
$219k
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
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1107 roles with salary data.
The AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions for banking. You will partner with cross-functional teams to design, develop, test, deploy, and support AI software components. Key responsibilities include foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, model evaluation, and observability. You will invent optimization techniques to improve scalability, cost, latency, and throughput for production systems. The role requires proficiency in Python, Go, Scala, CUDA, or Java, alongside experience with AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch. You will solve complex problems regarding multi-model orchestration, cost-performance governance, and hardware utilization to deliver responsible, high-performance AI infrastructure that enhances customer interactions and internal workflows.
What does a AI Engineer earn in Virginia?
Median $246150 from 68 postings across 4 companies.
Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Build and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Implement agentic AI workflows and multi-agent systems to enhance product functionality.
Develop state-of-the-art optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
Establish and lead cost-performance governance reviews to track GPU utilization and inference cost efficiency.
Lead design review boards to ensure technical consistency and compliance with AI engineering standards.
Mentor Principal and Manager-level AI engineers to foster cross-domain learning and technical maturity.
What we're looking for
Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI and ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI and ML algorithms.
At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting complex AI systems (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).