AI Engineer 5
$230k - $262k • New York, NY • Full-time
Posted 16d ago
About the job
Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company is at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing Capital One's AI vision. The team collaborates with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. AI models and platforms empower various teams to enhance products with AI in responsible and scalable ways.
Responsibilities
- Partner with cross-functional teams to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, similarity search, guardrails, model evaluation, governance, and observability.
- Leverage Open Source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve performance of large-scale production AI systems.
- Contribute to the technical vision and roadmap for foundational AI systems.
- Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Establish and lead cost-performance governance reviews for AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
- Lead team design councils or review boards to ensure technical consistency and compliance with AI engineering standards.
- Mentor AI engineers, fostering cross-domain learning and elevating organizational technical maturity.
Requirements
- 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 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, CUDA, or Java.
- Experience leading development of AI systems with trade-off decisions around cost, latency, throughput, and accuracy.
- 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, delivering, and supporting complex AI systems.
- 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.
- Experience in building agentic AI systems and agentic workflows.
- Passion for staying abreast of the latest AI research and judiciously applying novel techniques in production.
- Excellent communication and presentation skills.
- Experience architecting and integrating heterogeneous AI systems into unified production pipelines.
- Experience defining and enforcing standards for ethical AI deployment.