Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

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

Build and deploy responsible generative AI platform components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered capabilities for associates and customers. Work with open source and SaaS AI tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
4 days ago

Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and deploy responsible generative AI platform components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered capabilities for associates and customers. Work with open source and SaaS AI tooling (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch) and invent LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: New York, San Francisco, Virginia, Cambridge, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, and model evaluation.
  • •Partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
  • •Build and operate responsible AI capabilities using experimentation, governance, and observability practices.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Develop LLM optimization techniques to improve scalability, cost, latency, and throughput for production 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 6+ years developing AI/ML algorithms or technologies, or a Master’s degree plus 4+ years.
  • •6+ years programming with Python, Go, Scala, or Java.
  • •Experience 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.
  • •Experience leading and mentoring engineering teams and influencing cross-functional stakeholders.
Experience:6+ yearsAI/MLCloudGenerative AI
Education:Bachelor's
Skills:CommunicationPresentationProblem-solvingMentorshipStakeholder influence
Tech Stack:AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchFoundation model trainingLarge language model inferenceSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservabilityPythonGoScalaJavaGoogle CloudAzureC++

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