Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Discover Financial
Cambridge, New York, San Jose
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Analytical thinking","Communication","Adaptability","Problem-solving","Technical rigor"]

Build and deploy foundation and LLM capabilities that power responsible, scalable AI across Capital One. Partner with engineers, research scientists, and product teams to design AI software components spanning training, inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open-source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and invent optimization techniques to improve scalability, cost, latency, and throughput.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and deploy foundation and LLM capabilities that power responsible, scalable AI across Capital One. Partner with engineers, research scientists, and product teams to design AI software components spanning training, inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open-source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and invent optimization techniques to improve scalability, cost, latency, and throughput.
Location: Cambridge, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner cross-functionally to deliver AI-powered products and foundation capabilities across the business.
  • •Design, develop, test, deploy, and support AI software components for foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput in production systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

Key Requirements

  • •Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 4+ years developing AI/ML algorithms or technologies, or a Master's plus 2+ years.
  • •4+ years programming with Python, Go, Scala, or Java.
  • •6 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
  • •Experience designing, developing, delivering, and supporting AI services.
  • •Experience developing AI/ML for LLM inference, similarity search, and VectorDBs, including guardrails and memory.
Experience:AI/MLLLMCloud platforms
Education:Bachelor's
Skills:Analytical thinkingCommunicationAdaptabilityProblem-solvingTechnical rigor
Tech Stack:AWSGoogle CloudAzureAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#Golang

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