Senior Staff AI Engineer - Remote AI Platform Leader

COMFORT SYSTEMS

Lincoln (NE)

Remote

USD 286,000 - 327,000

Full time

3 days ago

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Job summary

Capital One is seeking a Senior Staff AI Engineer to join the Intelligent Foundations and Experiences team. This role is remote eligible and focuses on building responsible, scalable AI systems and platforms that power real-time customer experiences.

You will partner with engineers, researchers, and product managers to design and deploy AI software components, including foundation models, inference, and governance, while advancing production-ready AI capabilities across the enterprise.

Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
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, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale
Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide
Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture
Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership.