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This listing doesn't post a salary. Most similar roles pay
$186,025–$246,150.
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
2276 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1147 roles with salary data.
The AI Engineer 5 (Gen AI Platform Services - Agentic AI) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions central to banking operations. You will design, develop, test, and deploy AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, and guardrails. Key responsibilities involve optimizing multi-model orchestration pipelines, establishing cost-performance governance, and mentoring senior engineers. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. The role focuses on solving complex technical problems by improving scalability, latency, and throughput of production AI systems while ensuring technical consistency and compliance with engineering standards for responsible and scalable AI deployment.
What does a AI Engineer earn in Virginia?
Median $246150 from 71 postings across 3 companies.
Design, develop, test, deploy, and support AI software components including LLM inference, agents, and multi-agent workflows.
Implement and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput.
Establish and lead cost-performance governance reviews tracking GPU utilization and inference cost efficiency.
Lead team design councils to ensure technical consistency and compliance with AI engineering standards.
Mentor Principal and Manager-level AI engineers to foster cross-domain learning and elevate organizational technical maturity.
Define and enforce standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop processes.
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 developing AI and ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).
Experience architecting and integrating heterogeneous AI systems into unified production pipelines (preferred).
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic Workflows
Similarity Search
Model Optimization
Google Cloud
Azure
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Optimization
Google Cloud
Azure
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Optimization
Observability
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Evaluation
Observability
Google Cloud
Azure