Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Discover Financial
San Jose, Cambridge, New York, San Francisco
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Technical","Mathematics foundation","Communication","Presentation skills","Lead and mentor"]

Build and evolve foundational AI systems by designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Partner with engineering, research science, program management, and product teams to deliver AI-powered experiences. Leverage AWS and open-source tooling, and apply state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.

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FursaFursa
Discover Financial
Discover Financial
4 weeks ago

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and evolve foundational AI systems by designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Partner with engineering, research science, program management, and product teams to deliver AI-powered experiences. Leverage AWS and open-source tooling, and apply state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
Location: San Jose, Cambridge, New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Partner with cross-functional teams (engineers, research scientists, technical program managers, 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, model evaluation, experimentation, governance, and observability.
  • •Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
  • •Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
  • •Contribute to the technical vision and long-term roadmap of 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 degree plus at least 4 years developing AI/ML algorithms or technologies.
  • •At least 6 years of experience 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, integrating, delivering, and supporting complex AI systems — preferred.
  • •Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders — preferred.
Experience:6+ years
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering (or related fields)
Skills:TechnicalMathematics foundationCommunicationPresentation skillsLead and mentor
Tech Stack:PythonGoScalaJavaAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchOpen SourceLLM InferenceSimilarity SearchGuardrailsExperimentationObservabilityGovernance

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