Sr. Lead AI Engineer (FM Hosting, LLM Inference)

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

Build and deploy responsible, scalable AI software components for foundation model training and large language model inference. Partner with engineers, research scientists, and product leaders to deliver AI-powered capabilities and improve LLM optimization for production scalability, cost, latency, and throughput. Work with open source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) while contributing to the long-term roadmap for foundational AI systems.

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FursaFursa
Discover Financial
Discover Financial
4 weeks ago

Sr. Lead AI Engineer (FM Hosting, LLM Inference)

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

Job Summary

Build and deploy responsible, scalable AI software components for foundation model training and large language model inference. Partner with engineers, research scientists, and product leaders to deliver AI-powered capabilities and improve LLM optimization for production scalability, cost, latency, and throughput. Work with open source and SaaS tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) while contributing to the long-term roadmap for foundational AI systems.
Location: New York, Virginia, Cambridge, San Jose
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.
  • •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, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
  • •Contribute to the technical vision and long-term roadmap for foundational AI systems.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •Bachelor's degree in Computer Science, AI, or related fields plus at least 6 years developing AI/ML algorithms or technologies, or a Master's degree plus at least 4 years developing AI/ML algorithms or technologies.
  • •At least 6 years of experience programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure) (preferred).
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders (preferred).
Experience:6+ yearsAI/MLLLMLLM inferenceResponsible AICloud
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:CommunicationLeadershipMentoringProblem-solvingStakeholder management
Tech Stack:PythonGoScalaJavaC++C#GolangAWS UltraclustersHugging FaceVectorDBsNemo GuardrailsPyTorchAWSGoogle CloudAzureFoundation model trainingLarge language model inferenceSimilarity searchGuardrailsExperimentation

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