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 deliver AI-driven products.

• Design, develop, test, implement, and maintain AI software components, encompassing foundation model training, LLM 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 introduce cutting-edge foundation model optimization techniques to enhance scalability, cost-efficiency, latency, and throughput.

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

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

• Oversee model routing, caching, and orchestration systems for hybrid and multi-model workloads.

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

• Foster internal education, mentorship, and 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 plus a minimum of 8 years of experience in developing AI and ML algorithms or technologies, OR a Master’s degree in those fields with at least 6 years of experience.

• A minimum of 8 years of programming experience with Python, Go, Scala, CUDA, or Java.

• Experience in designing AI systems with decisions regarding cost, latency, throughput, and accuracy trade-offs.

• Proven experience in deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.

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

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

• Proficiency in optimizing training and inference software.

• Experience in building agentic AI systems and workflows.

• Demonstrated leadership and mentoring capabilities across multiple engineering teams, influencing cross-functional stakeholders up to the VP level.

• Experience in defining enterprise AI architecture standards, 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.

• Skills in right-sizing models, instance counts, and hardware types.

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

🏝️ Benefits

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

• Comprehensive, competitive, and inclusive health, financial, and other benefits that support overall well-being.

• Reasonable accommodations for applicants who require them.

• Drug-free workplace.

• Equal opportunity employment and non-discrimination.