AI Engineer 5
$230k - $262k • San Jose, CA • Full-time
Posted 17d ago
About the job
Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses, focusing on responsible and scalable AI solutions.
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, and governance.
- 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 (scalability, cost, latency, throughput) of large-scale 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 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 plus at least 4 years of experience.
- 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).
- 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.