Distinguished AI Engineer (Remote Eligible)

About the Role

At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. 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 partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that 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 high-impact results.

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how associates work and how customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, 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, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance—scalability, cost, latency, throughput—of large-scale production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies.
• At least 8 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications

• 8 years of experience 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 AI systems.
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level.
• Experience developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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.
• Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Skills

• Deep technical foundation in engineering and mathematics.
• Expertise in hardware, software, and AI to identify and exploit optimization opportunities.
• Resilience and trailblazing mindset to forge new paths and achieve business goals in uncharted territory.
• Ability to adapt quickly, bring clarity to undefined problems, and articulate findings concisely.
• Courage to share new ideas, even when unproven.

Pay

The annual salary ranges for this role are as follows:

• Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer
• Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer
• McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer
• New York, NY: $293,600 - $335,100 for Distinguished AI Engineer
• San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.