Senior Lead AI Engineer (GenAI Platform Services)

Discover Financial
New York, San Francisco, San Jose, Richmond
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Technical leadership","Communication","Presentation","Problem-solving","Mentoring"]

Build and support AI software components powering foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products and scalable, high-performance infrastructure. Work with Open Source and SaaS AI technologies (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and develop state-of-the-art LLM optimization for scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
5 days ago

Senior Lead AI Engineer (GenAI Platform Services)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and support AI software components powering foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products and scalable, high-performance infrastructure. Work with Open Source and SaaS AI technologies (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and develop state-of-the-art LLM optimization for scalability, cost, latency, and throughput.
Location: New York, San Francisco, San Jose, Richmond
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 work and customer interactions.
  • •Design, develop, test, deploy, and support AI software components across 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).
  • •Develop and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput in production 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) plus 6+ years developing AI/ML algorithms or technologies, or a Master’s degree plus 4+ years.
  • •6+ years of experience programming with Python, Go, Scala, or Java.
  • •7+ years deploying scalable, 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:4+ yearsAIMachine learningCloudLLMLarge-scale production AI
Skills:Technical leadershipCommunicationPresentationProblem-solvingMentoring
Tech Stack:PythonGoScalaJavaC++C#GolangAWSGoogle CloudAzureHuggingfaceVectorDBsNemo GuardrailsPyTorchLLM 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