Sr. Lead AI Engineer (AI Foundations)

Discover Financial
San Jose, San Francisco, Cambridge, Plano, New York
Full timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Leadership","Mentorship","Problem-solving"]

Build responsible, scalable AI foundation systems for banking experiences at Capital One. Partner with engineers, research scientists, program managers, and product managers to design, develop, test, deploy, and support AI components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Optimize large-scale production performance (cost, latency, throughput) using an AI stack including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.

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FursaFursa
Discover Financial
Discover Financial
3 days ago

Sr. Lead AI Engineer (AI Foundations)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build responsible, scalable AI foundation systems for banking experiences at Capital One. Partner with engineers, research scientists, program managers, and product managers to design, develop, test, deploy, and support AI components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Optimize large-scale production performance (cost, latency, throughput) using an AI stack including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
Location: San Jose, San Francisco, Cambridge, Plano, New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that change how associates work and how customers interact with Capital One.
  • •Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and apply state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems.

Key Requirements

  • •Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years developing AI/ML algorithms or technologies, or a Master’s plus at least 4 years.
  • •6+ years programming with Python, Go, Scala, or Java.
  • •7+ years deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience:6+ yearsAIMachine learningCloudLLMResponsible AI
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationPresentationLeadershipMentorshipProblem-solving
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM inferenceSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservability

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn