AI Engineer 3 (AI Foundations)

Discover Financial
Cambridge, San Jose, New York
Workplace: OnsiteFull timeUSD 161,800 - 201,400 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Engineering excellence","Responsible experimentation","Problem-solving","Mentoring"]

Build and deploy AI software components for foundation-model training, large language model inference, and agentic workflows. Work with a cross-functional team to design, test, and support scalable systems including similarity search, guardrails, evaluation, governance, and observability. Leverage open-source and SaaS AI technologies (e.g., AWS, Hugging Face, VectorDBs, PyTorch) to optimize training and inference for cost, latency, and throughput, and mentor junior engineers.

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FursaFursa
Discover Financial
Discover Financial
14 hours ago

AI Engineer 3 (AI Foundations)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and deploy AI software components for foundation-model training, large language model inference, and agentic workflows. Work with a cross-functional team to design, test, and support scalable systems including similarity search, guardrails, evaluation, governance, and observability. Leverage open-source and SaaS AI technologies (e.g., AWS, Hugging Face, VectorDBs, PyTorch) to optimize training and inference for cost, latency, and throughput, and mentor junior engineers.
Location: 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 for associates and customers.
  • •Design, develop, test, deploy, and support AI components including foundation model training, LLM inference, agents/multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
  • •Invent foundation model optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.
  • •Lead development and benchmarking of multi-turn conversational and tool-using agent workflows with measurable performance and safety metrics.
  • •Implement scalable pipelines for training, fine-tuning, and deploying foundation or domain-specific models across environments, and contribute to governance/security and mentorship.

Pay and Benefits

Salary: USD 161,800 - 201,400 annually
Perks:Health InsuranceDentalVision401kPaid LeaveEquity

Key Requirements

  • •Bachelor's degree in Computer Science/AI/Electrical or related fields plus 3+ years developing AI/ML algorithms or technologies, or Master's degree plus 1+ year experience.
  • •3+ years programming with Python, Go, Scala, CUDA, or Java.
  • •Experience contributing to AI systems with tradeoff decisions around cost, latency, throughput, and accuracy.
  • •4+ years deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows.
Experience:3+ yearsAIMachine learningLLMsCloudFoundation modelsAgentic workflowsRetrieval-augmented generation
Education:Bachelor's in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Skills:Engineering excellenceResponsible experimentationProblem-solvingMentoring
Tech Stack:PythonGoScalaCUDAJavaAWSGoogle CloudAzureHuggingfacePyTorchVectorDBsVector DatabaseLLM inferenceSimilarity searchRetrieval-augmented generation (RAG)Fine-tuningOpen sourceSaaS

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