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TIAA

Sells retirement annuities to nonprofit workers

AI Platform Lead Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Strong proficiency in Python and production-grade backend development experience.
  • Demonstrated experience with agent development frameworks such as LangChain, LangGraph, or AutoGen.
  • Experience designing and deploying enterprise-scale large language model solutions, multi-agent workflows, and advanced Retrieval-Augmented Generation architectures with robust context and memory management systems.
  • Hands-on experience with large language model optimization techniques, including prompt engineering, Retrieval-Augmented Generation, quantization, distillation, and fine-tuning.
  • Practical experience fine-tuning small language models.
  • Backend development experience including API design, microservices, and system architecture.
  • Expertise in AWS and cloud infrastructure, including compute, storage, networking, security, and deployment/continuous integration and deployment.
  • Hands-on experience with Model Context Protocol for building standardized agent-to-tool and agent-to-data integrations is mandatory.
  • Strong communication skills.
  • Stakeholder management skills engaging business leaders, product owners, and cross-functional partners.
  • A bachelor's degree is required.

Responsibilities

  • Design and develop AI agent frameworks and orchestration layers supporting enterprise use cases.
  • Apply large language model optimization techniques, including quantization, distillation, prompt/context optimization, and caching, to improve latency, cost, and performance.
  • Lead fine-tuning efforts for small language models tailored to domain-specific use cases.
  • Architect and implement backend services and APIs supporting AI model integration and deployment.
  • Design and deploy AI infrastructure and services on AWS and other cloud platforms.
  • Implement Model Context Protocol integrations to enable standardized tool and data access for AI agents.
  • Partner with cross-functional stakeholders to translate business requirements into scalable technical solutions.
  • Mentor Associate-level engineers and review code and designs for quality.
  • Evaluate emerging agentic AI and large language model engineering tools and research, and recommend adoption.
  • Contribute to engineering standards and documentation for the Foundation Engineering practice.

Desired Qualifications

  • Background in machine learning fundamentals.
  • Prior experience mentoring junior engineers.
  • A master's degree or equivalent postgraduate qualification is preferred.
  • Seven or more years of experience is preferred.

About the Company

TIAA

Sells retirement annuities to nonprofit workers

TIAA runs workplace retirement plans and sells annuities to people who work for colleges, hospitals, research institutions, cultural groups and government agencies. Its flagship TIAA Traditional annuity guarantees a minimum return and has paid additional interest above that floor every year since 1948, turning savings into income for life. Employers sponsor the plans and workers contribute from each paycheck, while TIAA earns investment spread and fees on the money it manages, partly through Nuveen, its asset management arm. Andrew Carnegie founded TIAA in 1918 to fund pensions for college professors, and the organization is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
$2B
Headquarters
New York City, New York
Founded
1918

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