Senior Lead AI Engineering (GenAI Platform Services: Agentic Systems)

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

Design and deliver responsible, scalable GenAI/agentic systems for banking at scale. Partner with engineers, research scientists, product managers, and program managers to build and support AI software components such as foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage technologies like AWS Ultraclusters, Hugging Face, vector databases, Nemo Guardrails, and PyTorch, while inventing optimization techniques to improve performance, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 day ago

Senior Lead AI Engineering (GenAI Platform Services: Agentic Systems)

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Last checked: 7 hours agoStatus: Live

Job Summary

Design and deliver responsible, scalable GenAI/agentic systems for banking at scale. Partner with engineers, research scientists, product managers, and program managers to build and support AI software components such as foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage technologies like AWS Ultraclusters, Hugging Face, vector databases, Nemo Guardrails, and PyTorch, while inventing optimization techniques to improve performance, cost, latency, and throughput.
Location: San Francisco, Cambridge, San Jose, 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 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, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, vector databases, 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 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.
  • •Preferred: 7+ years 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.
  • •Experience building AI/ML algorithms or technologies (e.g., LLM inference, similarity search/vector databases, guardrails, memory) and applying optimization techniques for training/inference performance.
Experience:6+ yearsAI/MLGenAILLM inferenceLLM optimizationCloud platforms
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationPresentationLeadershipMentorshipProblem-solving
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangAWSGoogle CloudAzureFoundation model trainingLarge language model inferenceSimilarity searchGuardrailsModel evaluation

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