Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Discover Financial
San Jose, San Francisco, Virginia, Cambridge, New York
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Systems thinking","Quality focus","Communication","Problem-solving","Adaptability"]

Build and productionize foundational AI systems that power responsible, scalable capabilities across Capital One. Partner with engineers, research scientists, and product teams to design and deploy AI software components spanning LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Use open-source and SaaS tools on cloud infrastructure (including AWS-focused stack) to introduce LLM optimization techniques that improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and productionize foundational AI systems that power responsible, scalable capabilities across Capital One. Partner with engineers, research scientists, and product teams to design and deploy AI software components spanning LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Use open-source and SaaS tools on cloud infrastructure (including AWS-focused stack) to introduce LLM optimization techniques that improve scalability, cost, latency, and throughput.
Location: San Jose, San Francisco, Virginia, Cambridge, 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, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • •Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput in production systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years developing AI/ML algorithms or technologies, or a Master’s degree plus at least 2 years experience.
  • •At least 4 years of experience programming with Python, Go, Scala, or Java.
  • •Preferred: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
  • •Preferred: experience designing, developing, delivering, and supporting AI services.
  • •Preferred: experience developing AI/ML algorithms or technologies (e.g., LLM inference, similarity search, vector databases, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience:4+ yearsAI and MLCloudLLM
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:Systems thinkingQuality focusCommunicationProblem-solvingAdaptability
Tech Stack:MLXLLMAIOpen SourceAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangSimilarity searchGuardrailsModel evaluationExperimentation

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