The Senior Lead AI Engineer will help build responsible and reliable AI systems that transform banking at Capital One. This role involves designing and deploying AI software components such as foundation model training, LLM inference, similarity search, and model governance, while contributing to the long-term technical vision of AI infrastructure.
What You'll Do
- 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, etc.
- 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 the long term roadmap of foundational AI systems at Capital One.
What We're Looking For
- Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
- At least 6 years of experience programming with Python, Go, Scala, or Java
Nice to Have
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience designing, developing, integrating, delivering, and supporting complex AI systems
- Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
- 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 apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Technical Stack
- AWS Ultraclusters
- Huggingface
- VectorDBs
- Nemo Guardrails
- PyTorch
- Python
- Go
- Scala
- Java
- C++
- C#
Team & Environment
- Cross-functional team including engineers, research scientists, technical program managers, and product managers
Benefits & Compensation
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Eligibility for benefits varies based on full or part-time status, exempt or non-exempt status, and management level
Compensation: New York, NY: $250,800 - $286,200; San Jose, CA: $250,800 - $286,200; other locations subject to local pay range. Long term incentives (LTI) may be included as part of performance-based compensation. Performance-based incentive compensation (discretionary or non-discretionary).
Work Mode
Remote-eligible; candidates hired to work in other locations will be subject to the pay range associated with that location. Locations include: New York, NY; San Jose, CA; Other locations eligible for remote work.
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.
