Lead AI Engineer

Discover Financial
San Jose, Richmond, New York
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Scientific reasoning","Problem-solving","Technical communication","Adaptability"]

Build and support AI software components for foundation model training and large language model inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner cross-functionally to deliver AI-powered products that improve associate workflows and customer experiences. Leverage open source and SaaS AI stacks (including AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch) while developing LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead AI Engineer

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

Job Summary

Build and support AI software components for foundation model training and large language model inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner cross-functionally to deliver AI-powered products that improve associate workflows and customer experiences. Leverage open source and SaaS AI stacks (including AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch) while developing LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: San Jose, Richmond, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid 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 and LLM inference.
  • •Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability for production AI systems.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor's degree (Computer Science, AI, Electrical Engineering, Computer Engineering, or related) with at least 4 years of experience developing AI and ML algorithms/technologies, or a Master's degree with at least 2 years of experience.
  • •At least 4 years of experience programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
  • •Experience designing, developing, delivering, and supporting AI services.
  • •Experience developing and applying state-of-the-art techniques to optimize training/inference for hardware utilization, latency, throughput, and cost.
Experience:4+ yearsAI/ML
Education:Bachelor's
Skills:Cross-functional collaborationScientific reasoningProblem-solvingTechnical communicationAdaptability
Tech Stack:PythonGoScalaJavaC++C#GolangAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchLarge language model 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