Senior Lead AI Engineer, Gen AI Platform

Discover Financial
New York, San Jose
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Problem-solving","Leadership","Technical writing"]

Build and deploy foundational AI systems for responsible, scalable banking use cases. Partner with engineers, research scientists, technical program managers, and product managers to design AI software components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open source and SaaS AI technologies (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
3 weeks ago

Senior Lead AI Engineer, Gen AI Platform

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and deploy foundational AI systems for responsible, scalable banking use cases. Partner with engineers, research scientists, technical program managers, and product managers to design AI software components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open source and SaaS AI technologies (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: New York, San Jose
Workplace: Onsite
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 improve 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, 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 of production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with 6+ years developing AI/ML algorithms or technologies, or a Master’s degree with 4+ years developing AI/ML algorithms or technologies.
  • •At least 6 years of experience programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure) and supporting complex AI systems.
  • •Experience developing and applying state-of-the-art techniques to optimize AI training and inference software for hardware utilization, latency, throughput, and cost.
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience:4+ yearsAIMachine learningLLM
Education:Bachelor's
Skills:CommunicationPresentationProblem-solvingLeadershipTechnical writing
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangFoundation model trainingLarge 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