Senior Lead AI Engineer

Discover Financial
Cambridge, New York, San Francisco, San Jose
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Mentorship","Problem-solving","Technical thinking"]

Design, develop, deploy, and support responsible AI software components for foundational AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Work with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Use 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
1 month ago

Senior Lead AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design, develop, deploy, and support responsible AI software components for foundational AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Work with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Use AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch, and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: Cambridge, New York, San Francisco, 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 training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •Bachelor’s degree in Computer Science/AI/Electrical or Computer Engineering (or related) plus 6+ years developing AI/ML algorithms or technologies; or a Master’s plus 4+ years.
  • •6+ years programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Experience developing AI/ML systems (e.g., LLM inference, similarity search/VectorDBs, guardrails, memory) and optimizing training/inference for performance and cost.
Experience:6+ yearsFintechBankingMachine learningArtificial intelligence
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationLeadershipMentorshipProblem-solvingTechnical thinking
Tech Stack:AWSGoogle CloudAzureHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM InferenceSimilarity SearchGuardrailsFoundation model trainingExperimentationGovernance

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