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About the Role
Capital One is creating responsible and reliable AI systems to transform banking. We are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.
Responsibilities
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics.
- Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments.
- Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies.
- Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets.
- Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation.
Requirements
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies.
- At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.
- Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy.
- 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience developing, delivering, and supporting AI services.
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
- Experience in building agentic AI systems and agentic workflows.
- Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost).
- Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows.
- Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems.
Skills
- Python
- Go
- Scala
- CUDA
- Java
- C++
- C#
- Golang
- AWS Ultraclusters
- Huggingface
- VectorDBs
- PyTorch
- LLM Inference
- Similarity Search
- VectorDBs
- Guardrails
- Memory
- Retrieval-augmented generation (RAG)
- Prompt-engineering
- Safety guardrails
- Red-teaming
Location
- Cambridge, MA
- McLean, VA
- New York, NY
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- 3+ years
- 1+ year
Education Level
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
- Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Salary/Compensations
- $161,800 - $184,600
- $176,500 - $201,400
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
About the Company
- At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
- For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.
- Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI.
- From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.
- The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life.
- We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.
- Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Equal Opportunity
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One promotes a drug-free workplace.
- Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.