Sr. Distinguished AI Engineer (Remote Eligible)

Discover Financial
San Francisco, Cambridge, New York, San Jose
Workplace: RemoteFull timeUSD 286,200 - 326,700 annuallyFunction: Data Science & Machine LearningExperience: 8-10 yearsEducation: bachelorsSkills: ["Communication","Presentation","Clarity","Problem-solving","Resilience"]

Build and deploy responsible, scalable AI systems for real-world banking experiences. Partner with engineers, research scientists, and product teams to design and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage Open Source and SaaS AI stacks (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) while inventing LLM optimization techniques to improve cost, latency, scalability, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Sr. Distinguished AI Engineer (Remote Eligible)

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

Job Summary

Build and deploy responsible, scalable AI systems for real-world banking experiences. Partner with engineers, research scientists, and product teams to design and support foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Leverage Open Source and SaaS AI stacks (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) while inventing LLM optimization techniques to improve cost, latency, scalability, and throughput.
Location: San Francisco, Cambridge, New York, San Jose
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that improve associates’ work and customer interactions.
  • •Design, develop, test, deploy, and support AI components across foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Use Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent LLM optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems.
  • •Contribute to the technical vision and long-term roadmap of foundational AI systems.

Pay and Benefits

Salary: USD 286,200 - 326,700 annually

Key Requirements

  • •Bachelor’s (CS/AI/EE/CE or related) with 10+ years, or Master’s with 8+ years developing AI/ML algorithms or technologies.
  • •10+ years programming with Python, Go, Scala, or Java.
  • •9 years deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems.
  • •Ability to develop and apply state-of-the-art techniques for optimizing training and inference for cost, latency, throughput, and hardware utilization.
Experience:8-10 yearsBankingMachine learningAI systemsLLMCloud
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationPresentationClarityProblem-solvingResilience
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchFoundation model trainingLarge language model inferenceSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservabilityPythonGoScalaJavaC++C#Golang

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