Staff AI Engineer

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Collaborate with engineers, research scientists, technical program managers, and product managers to create AI-driven products.

• Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

• Utilize Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch.

• Innovate and implement foundation model optimization techniques to enhance scalability, cost-efficiency, latency, and throughput of large-scale production AI systems.

• Contribute to the technical vision and long-term strategy of foundational AI systems.

• Define the technical direction for organization-wide AI architecture, tooling, observability, and deployment standards.

• Take ownership of the design and integration of model routing, caching, and orchestration systems for hybrid and multi-model workloads.

• Advocate for responsible AI principles, including transparency, reproducibility, and fairness-by-design.

• Promote internal education, mentorship, and the dissemination of best practices through architecture councils and AI guilds.

⛳️ Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with a minimum of 8 years of experience in developing AI and ML algorithms or technologies; or a Master’s degree in these fields with at least 6 years of experience.

• Minimum of 8 years of programming experience in Python, Go, Scala, CUDA, or Java.

• Demonstrated experience in designing AI systems with considerations for cost, latency, throughput, and accuracy trade-offs.

• Experience in deploying scalable and responsible AI solutions on cloud platforms, including AWS, Google Cloud, Azure, or a comparable private cloud.

• Proven experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems.

• Experience in leading and mentoring multiple engineering teams and influencing cross-functional stakeholders up to the VP level.

• Proficiency in developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang.

• Familiarity with developing and implementing state-of-the-art techniques for optimizing training and inference software.

• Experience in building agentic AI systems and workflows.

• Knowledge of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability, and evaluation frameworks.

• Experience in leading federated or multi-cloud AI strategies.

• Proven ability to influence research-to-production promotion processes.

• Experience in defining north-star metrics for AI systems.

• Capable of right-sizing models, instance counts, and hardware types.

• Capital One is open to sponsoring a new qualified applicant for employment authorization.

🏝️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

• A comprehensive, competitive, and inclusive package of health, financial, and other benefits that support total well-being.

• Reasonable accommodations available for applicants who need them.