Senior AI Engineer

Discover Financial
Virginia, New York, San Jose
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Adaptability","Resilience"]

Build and deploy responsible, scalable AI systems on the Intelligent Foundations and Experiences (IFX) team. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Design and operate AI software components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability—using AWS-based infrastructure and open-source AI frameworks. Drive LLM optimization to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
2 days ago

Senior AI Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and deploy responsible, scalable AI systems on the Intelligent Foundations and Experiences (IFX) team. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Design and operate AI software components spanning foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability—using AWS-based infrastructure and open-source AI frameworks. Drive LLM optimization to improve scalability, cost, latency, and throughput.
Location: Virginia, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate 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.
  • •Use open-source and SaaS AI technologies to build and operate AI capabilities (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch).
  • •Develop and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput in production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems.

Pay and Benefits

Salary: USD 161,800 - 184,600 annually

Key Requirements

  • •Bachelor’s degree in Computer Science/AI/Electrical Engineering/Computer Engineering (or related) plus 3+ years developing AI/ML algorithms/technologies, or a Master’s plus 1+ year developing AI/ML algorithms/technologies.
  • •3+ years programming with Python, Go, Scala, or Java.
  • •Experience developing AI and ML algorithms/technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience developing, delivering, and supporting AI services.
Experience:3+ yearsAIMLLLMCloudProduction AI
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationProblem-solvingCollaborationAdaptabilityResilience
Tech Stack:Open SourceSaaSAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchAWSGoogle CloudAzurePythonGoScalaJavaC++C#GolangLLM InferenceSimilarity SearchGuardrails

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