Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

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

Design and deliver AI platform components for large-scale production systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with cross-functional engineering, research, technical program, and product teams to build responsible, scalable AI-powered experiences. Leverage AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch, and invent optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

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

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

Job Summary

Design and deliver AI platform components for large-scale production systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with cross-functional engineering, research, technical program, and product teams to build responsible, scalable AI-powered experiences. Leverage AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch, and invent optimization techniques to improve scalability, cost, latency, and throughput.
Location: Cambridge, New York, San Francisco, San Jose
Workplace: Onsite
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 associate and customer experiences.
  • •Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Apply and combine 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 performance (scalability, cost, latency, throughput).
  • •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 Engineering, Computer Engineering, or related fields plus at least 6 years developing AI/ML algorithms or technologies, or a Master’s plus at least 4 years.
  • •6+ years programming with Python, Go, Scala, or Java.
  • •7+ years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience:6+ yearsAIMLLLM inferenceProduction AICloudResponsible AI
Education:Bachelor's
Skills:CommunicationProblem-solvingLeadershipMentorshipTechnical rigor
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangAWSGoogle CloudAzure

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