AI Engineer 5 (Gen AI Platform Services - Agentic AI)

Discover Financial
San Francisco, Cambridge, San Jose, New York
Workplace: OnsiteFull timeUSD 229,900 - 262,400 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Presentation"]

Build and support responsible, scalable GenAI platform components, from foundation model training and LLM inference to agents, multi-agent workflows, vector search, guardrails, evaluation, governance, and observability. Partner with cross-functional engineering, research, TPM, and product teams to design orchestration pipelines and optimize foundation model performance across scalability, cost, latency, and throughput. Lead technical reviews, governance, and mentorship for AI engineering standards.

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FursaFursa
Discover Financial
Discover Financial
15 hours ago

AI Engineer 5 (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: 15 hours agoStatus: Live

Job Summary

Build and support responsible, scalable GenAI platform components, from foundation model training and LLM inference to agents, multi-agent workflows, vector search, guardrails, evaluation, governance, and observability. Partner with cross-functional engineering, research, TPM, and product teams to design orchestration pipelines and optimize foundation model performance across scalability, cost, latency, and throughput. Lead technical reviews, governance, and mentorship for AI engineering standards.
Location: San Francisco, Cambridge, San Jose, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that change how associates work and how customers interact.
  • •Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents/multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
  • •Invent and apply foundation model optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.
  • •Lead governance reviews and design council/design review boards; mentor Principal and Manager-level AI engineers.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 6+ years developing AI/ML algorithms or technologies, or a Master’s degree plus 4+ years.
  • •6+ years programming with Python, Go, Scala, CUDA, or Java.
  • •Experience leading development of AI systems with tradeoffs around cost, latency, throughput, and accuracy.
  • •7+ years deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience designing, developing, delivering, and supporting complex AI systems.
Experience:6+ yearsAI/MLCloud
Education:Bachelor's
Skills:CommunicationPresentation
Tech Stack:PythonGoScalaCUDAJavaAWSGoogle CloudAzurePyTorchHuggingfaceVectorDBsLLM inferenceVector searchAgentsMulti-agent workflowsFoundation model trainingSimilarity searchGuardrailsModel evaluationExperimentation

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