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","Mentorship","Leadership","Problem-solving","Stakeholder management"]

Build and deploy production AI software for reliable, responsible customer experiences. Lead end-to-end development of foundation-model training and LLM inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, program managers, and product managers to ship AI-powered capabilities. Use Open Source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch) and develop state-of-the-art 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

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

Job Summary

Build and deploy production AI software for reliable, responsible customer experiences. Lead end-to-end development of foundation-model training and LLM inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, program managers, and product managers to ship AI-powered capabilities. Use Open Source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch) and develop state-of-the-art 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: Mid level

Key Responsibilities

  • •Partner cross-functionally to deliver AI-powered products that improve how associates work and how customers interact with Capital One.
  • •Design, develop, test, deploy, and support AI 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, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Develop state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale 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 plus at least 6 years developing AI/ML algorithms or technologies, or a Master’s degree plus at least 4 years.
  • •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).
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience:6+ years
Education:Bachelor's
Skills:CommunicationMentorshipLeadershipProblem-solvingStakeholder management
Tech Stack:PythonGoScalaJavaC++C#GolangAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchLLM 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