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Senior Distinguished AI Engineer

Capital One New York, NY

New York, NY

Today

$343k - $392k/yr Full time Senior Advanced Analytics Ai Guardrails

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Job Description

Capital One is hiring a Senior Distinguished AI Engineer (onsite) to build and deploy responsible, scalable AI systems on the Intelligent Foundations and Experiences (IFX) team.

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers
Design, develop, test, deploy, and support AI software components including:
- foundation model training
- large language model inference
- similarity search
- guardrails
- model evaluation
- experimentation
- governance
- observability
Use a broad stack of open source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch
Introduce state-of-the-art LLM optimization techniques to improve production performance, including scalability, cost, latency, and throughput
Contribute to the technical vision and the long-term roadmap for foundational AI systems at Capital One

Requirements

Education and experience:
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 10+ years developing AI/ML algorithms or technologies, or
- Master’s degree in a related field plus 8+ years developing AI/ML algorithms or technologies
10+ years programming with Python, Go, Scala, or Java

Technologies

AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, Java, C++, C#, Golang
LLM Inference, Similarity Search, Guardrails, Memory

Preferred Qualifications

9+ years deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems
Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level
Experience developing AI/ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Strong interest in staying current with AI research and applying novel techniques in production
Excellent communication and presentation skills for articulating complex AI concepts

Additional eligibility and workplace notes

Capital One may sponsor authorization for a new qualified applicant for employment
Eligible for performance-based incentive compensation (cash bonus(es) and/or LTI)
Applications are expected to be accepted for a minimum of 5 business days
No agencies
Equal opportunity employer (EOE, including disability/vet) and committed to non-discrimination under applicable laws
Drug-free workplace
No guarantee or liability for third-party products, services, educational tools, or other information available through the site
Capital One Financial consists of multiple entities; location-specific postings correspond to the relevant entity (e.g., Canada, UK, Philippines)

Compensation

Estimated salary range (USD) for this location:

New York, NY (onsite): $343,400 - $392,000 per year

Additional ranges listed for other locations:

Cambridge, MA: $314,800 - $359,300
McLean, VA: $314,800 - $359,300
Richmond, VA: $286,200 - $326,700
San Francisco, CA: $343,400 - $392,000
San Jose, CA: $343,400 - $392,000

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