Distinguished AI Engineer

Discover Financial
San Francisco, Richmond, New York, San Jose
Workplace: OnsiteFull timeUSD 293,600 - 335,100 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Problem-solving","Technical leadership","Innovation"]

Build and deploy responsible AI systems for banking, partnering with engineers, research scientists, and product leaders to deliver AI-powered products. Design and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open-source and SaaS technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch to invent state-of-the-art LLM optimization techniques and shape the long-term AI roadmap.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Distinguished AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and deploy responsible AI systems for banking, partnering with engineers, research scientists, and product leaders to deliver AI-powered products. Design and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage open-source and SaaS technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch to invent state-of-the-art LLM optimization techniques and shape the long-term AI roadmap.
Location: San Francisco, Richmond, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner cross-functionally with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
  • •Design, develop, test, deploy, and support AI software 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.
  • •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 of foundational AI systems at Capital One.

Pay and Benefits

Salary: USD 293,600 - 335,100 annually

Key Requirements

  • •Bachelor's degree in Computer Science/AI/Electrical Engineering/Computer Engineering (or related) with at least 8 years developing AI/ML algorithms or technologies, or a Master's with at least 6 years.
  • •At least 8 years of experience programming with Python, Go, Scala, or Java.
  • •At least 8 years of experience deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure or equivalent).
  • •Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Experience applying state-of-the-art techniques to optimize training and inference for hardware utilization, latency, throughput, and cost.
Experience:8+ yearsMachine learningArtificial intelligence
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationPresentationProblem-solvingTechnical leadershipInnovation
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM 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