Senior Lead AI Engineer (GenAI Platform Services)

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

Build and scale foundational GenAI platform capabilities that power responsible, high-performance AI for banking. You’ll design, develop, deploy, and support AI components such as LLM inference, similarity search with vector databases, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, TPMs, and PMs to deliver AI-powered products while optimizing model training and inference for cost, latency, scalability, and throughput using tools across AWS and modern open-source frameworks.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Senior Lead AI Engineer (GenAI Platform Services)

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

Job Summary

Build and scale foundational GenAI platform capabilities that power responsible, high-performance AI for banking. You’ll design, develop, deploy, and support AI components such as LLM inference, similarity search with vector databases, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, TPMs, and PMs to deliver AI-powered products while optimizing model training and inference for cost, latency, scalability, and throughput using tools across AWS and modern open-source frameworks.
Location: San Jose, Virginia, Cambridge, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with engineers, research scientists, TPMs, and product managers to deliver AI-powered products.
  • •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 such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and apply LLM optimization techniques to improve scalability, cost, latency, and throughput in 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) plus 6+ years building AI/ML algorithms/technologies, or a Master's plus 4+ years.
  • •At least 6 years programming with Python, Go, Scala, or Java.
  • •Experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • •Experience developing AI/ML using Python, C++, C#, Java, or Golang (e.g., LLM inference, similarity search, vector databases, guardrails).
Experience:6+ yearsBankingFintechAI/MLCloud
Education:Bachelor's
Skills:CommunicationPresentationMentorshipCross-functional collaborationProblem-solving
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchAWSGoogle CloudAzurePythonGoScalaJavaC++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