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

Discover Financial
New York, Cambridge, San Francisco, San Jose
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Adaptability","Technical leadership","Innovation"]

Build and ship foundational AI systems that power LLM core and agentic AI capabilities. Partner with engineers, research scientists, program managers, and product managers to design, develop, test, deploy, and support AI software components spanning model training, inference, similarity search, guardrails, evaluation, governance, and observability. Leverage open source and SaaS AI tooling and drive state-of-the-art LLM optimization for scalability, cost, latency, and throughput while shaping the long-term technical roadmap.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

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

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and ship foundational AI systems that power LLM core and agentic AI capabilities. Partner with engineers, research scientists, program managers, and product managers to design, develop, test, deploy, and support AI software components spanning model training, inference, similarity search, guardrails, evaluation, governance, and observability. Leverage open source and SaaS AI tooling and drive state-of-the-art LLM optimization for scalability, cost, latency, and throughput while shaping the long-term technical roadmap.
Location: New York, Cambridge, San Francisco, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner cross-functionally 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, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
  • •Contribute to the technical vision and long-term roadmap of 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 fields plus at least 4 years developing AI/ML algorithms or technologies; or a Master's degree plus at least 2 years developing AI/ML algorithms or technologies.
  • •At least 4 years of experience programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure (or equivalent private cloud).
  • •Experience designing, developing, delivering, and supporting AI services.
  • •Experience developing AI/ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience:2+ yearsMachine learningAI systemsLLM inferenceCloud platforms
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:Problem-solvingCommunicationAdaptabilityTechnical leadershipInnovation
Tech Stack:PythonGoScalaJavaC++C#GolangAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchAWSGoogle CloudAzure

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