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This listing doesn't post a salary. Most similar roles pay
$143,920–$218,281.
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
2105 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1121 roles with salary data.
The AI Engineer 3 joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions central to the business. You will design, test, and support AI software components, including foundation model training, large language model inference, multi-agent workflows, similarity search, and guardrails. Key responsibilities involve implementing scalable pipelines for fine-tuning models, optimizing performance for cost and latency, and collaborating with research teams to curate high-quality datasets. You will utilize a technical stack including PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters, while programming in Python, Go, Scala, CUDA, or Java. This role solves complex problems in banking by building responsible, high-performance AI infrastructure to enhance customer interactions and internal workflows through state-of-the-art engineering and model evaluation methodologies.
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.
Implement scalable pipelines for training, fine-tuning, and deploying foundation or domain-specific models across multiple environments.
Invent and introduce state-of-the-art optimization techniques to improve performance, scalability, cost, latency, and throughput of production systems.
Lead development and benchmarking of multi-turn conversational and tool-using agent workflows with measurable safety metrics.
Curate high-quality datasets and improve model evaluation methodologies in collaboration with research and data engineering teams.
Contribute to governance and security efforts for model traceability, lineage documentation, and version control of AI assets.
Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 3 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 1 year of AI/ML experience.
At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience contributing to AI system components with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
4+ 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 developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
LLM Inference
RAG
prompt-engineering
Model Evaluation
Similarity Search
Multi-agent workflows
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 Optimization
Google Cloud
Azure
Model Evaluation
Observability