This role pays more than
74%
of similar roles. Most pay
$162,000–$214,000
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$188k
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
836 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 829 roles with salary data.
AI Engineer 4 (AI Foundations) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that power core business functions. This role involves designing, testing, and supporting software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and model evaluation. The engineer will optimize performance metrics like latency, throughput, and cost while managing end-to-end architecture for complex systems. Key technical requirements include proficiency in Python, Go, Scala, CUDA, or Java, along with experience using PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. The position focuses on the technical challenge of building scalable, high-performance AI infrastructure and implementing state-of-the-art optimization techniques for production systems. Candidates will collaborate across functions to ensure security, data governance, and ethical alignment while mentoring others on research-to-production translation within a complex banking environment.
What does a AI Engineer earn in Massachusetts?
Median $246150 from 54 postings across 4 companies.
Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Implement agentic workflows, similarity search, guardrails, and model evaluation systems.
Develop optimization techniques to improve performance, scalability, cost, latency, and throughput of production AI systems.
Own the end-to-end architecture for complex AI systems ensuring maintainability, observability, and ethical alignment.
Define and maintain service-level objectives for AI reliability including uptime and model performance drift.
Collaborate with infrastructure teams to optimize GPU/TPU utilization and accelerate inference pipelines.
Lead technical reviews to ensure new deployments meet security, data governance, and compliance standards.
Mentor senior associates on scalable design, performance tuning, and research-to-production translation.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 2 years of experience developing AI/ML algorithms.
At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with trade-offs regarding cost, latency, throughput, and accuracy (preferred).
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting AI services (preferred).
Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Multi-agent Workflows
Similarity Search
Model Evaluation
Observability
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Agentic Workflows
Similarity Search
Model Evaluation
Observability
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Model Evaluation
Similarity Search
SaaS
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Model Evaluation
Similarity Search
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Multi-agent Workflows
Similarity Search
Model Evaluation
SaaS
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Multi-agent Workflows
Similarity Search
Model Evaluation