Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)

Discover Financial
New York, Cambridge, San Francisco, San Jose
Full timeUSD 197,300 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Adaptability","Technical leadership"]

Build and deploy AI software components for foundation model training and LLM inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Use Open Source and SaaS AI technologies (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) and develop LLM optimization techniques to improve scalability, cost, latency, and throughput for production systems.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and deploy AI software components for foundation model training and LLM inference, including similarity search, guardrails, evaluation, experimentation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Use Open Source and SaaS AI technologies (including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch) and develop LLM optimization techniques to improve scalability, cost, latency, and throughput for production systems.
Location: New York, Cambridge, San Francisco, San Jose
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that improve 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 such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce state-of-the-art 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 197,300 - 245,600 annually

Key Requirements

  • •Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years developing AI/ML algorithms or technologies, or a Master's plus at least 2 years.
  • •At least 4 years of 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, delivering, and supporting AI services (preferred).
  • •Experience developing AI/ML algorithms or technologies such as LLM inference, similarity search, and vector databases with Python, C++, C#, Java, or Golang (preferred).
Experience:4+ years
Education:Bachelor's
Skills:CommunicationProblem-solvingAdaptabilityTechnical leadership
Tech Stack:MLXLLM inferenceFoundation model trainingSimilarity searchGuardrailsModel evaluationExperimentationGovernanceObservabilityAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchOpen SourcePythonGoScalaJavaC++

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