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 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 like AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch.

• Innovate and implement 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 enterprise-level AI architecture and standardize tooling, observability, and deployment practices.

• Oversee 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 sharing of best practices through architecture councils and AI guilds.

⛳️ Requirements

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

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

• Proven experience in designing AI systems with trade-off decisions regarding cost, latency, throughput, and accuracy.

• 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud services.

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

• Demonstrated ability to lead and mentor multiple engineering teams while influencing cross-functional stakeholders up to the VP level.

• Experience in developing AI and ML algorithms or technologies, including LLM inference, similarity search, VectorDBs, guardrails, and memory.

• Skill in optimizing training and inference software for hardware utilization, latency, throughput, and cost.

• Experience in building agentic AI systems and workflows.

• Excellent communication and presentation skills.

• A history 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 experience in influencing research-to-production promotion processes.

• Ability to define north-star metrics for AI systems.

• Experience in 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).

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

• Eligibility for remote work.