Senior Lead AI Engineer (GenAI Platform Services, Agentic)

Discover Financial
San Jose, Virginia, Cambridge, New York
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Problem-solving","Communication","Mentorship","Adaptability"]

Build and deploy responsible, scalable AI software components for generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, TPMs, and product managers to deliver AI-powered capabilities for associates and customers. Drive LLM optimization for scalability, cost, latency, and throughput using open-source and cloud AI technologies.

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FursaFursa
Discover Financial
Discover Financial
1 week ago

Senior Lead AI Engineer (GenAI Platform Services, Agentic)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and deploy responsible, scalable AI software components for generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, TPMs, and product managers to deliver AI-powered capabilities for associates and customers. Drive LLM optimization for scalability, cost, latency, and throughput using open-source and cloud AI technologies.
Location: San Jose, Virginia, Cambridge, New York
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, evaluation, experimentation, governance, and observability.
  • •Leverage open-source and SaaS AI technologies (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch).
  • •Invent and apply 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, 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.
  • •At least 6 years of experience programming with Python, Go, Scala, or Java.
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Ability to lead and mentor an engineering team and influence cross-functional stakeholders.
  • •Experience developing AI/ML algorithms or technologies (e.g., LLM inference, similarity search, vector databases, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience:6+ yearsAI/MLCloud platformsLLMResponsible AI
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:Cross-functional collaborationProblem-solvingCommunicationMentorshipAdaptability
Tech Stack:AWSAWS UltraclustersHuggingfaceHugging FaceVectorDBsNemo GuardrailsPyTorchPythonGoScalaJavaC++C#GolangLLM inferenceSimilarity searchGuardrailsObservabilityExperimentationGovernance

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