Generative AI Technical Lead

TIAA

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXCharlotte, NCIselin, NJNew York, NY
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $212k
$143k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $176,800–$248,137.

Based on 240 similar postings.

Employer

About TIAA

TIAA (Teachers Insurance and Annuity Association of America) is a leading Fortune 100 financial services organization and a premier provider of retirement services in the academic, research, medical, cultural, and governmental fields.

TIAA currently has 13 open roles on FindRole.

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At a glance

TL;DR · Generative AI Technical Lead

The Generative AI Technical Lead will drive the design, development, and delivery of enterprise AI solutions across the organization. Working at the intersection of business and engineering, this individual translates stakeholder pain points into technical requirements while building production-grade systems. The role involves rapidly prototyping ideas, gathering feedback, and architecting complex solutions that navigate legacy systems, data silos, and security constraints. Key responsibilities include developing generative and agentic AI systems using RAG architectures, vector databases, and LLM orchestration tools on cloud platforms like AWS. The successful candidate will utilize software engineering practices, AIOps, and prompt engineering to ensure reliability and scalability. Required skills include experience in software engineering, AI technical products, and mentoring teams. This role solves the challenge of integrating advanced AI capabilities into a complex enterprise environment to create tangible value for non-technical partners.

What you'll do

  • Design, develop, and deploy production-grade generative and agentic AI systems to solve business needs.
  • Translate non-technical stakeholder requirements into technical specifications for engineering teams.
  • Rapidly prototype and iterate on AI proof-of-concepts based on stakeholder feedback.
  • Architect AI solutions using RAG architectures, vector databases, and LLM orchestration tools.
  • Navigate enterprise complexities including legacy systems, data silos, and security constraints to deliver at scale.
  • Apply software engineering best practices and AIOps standards to ensure system reliability and scalability.
  • Lead and mentor technical team members while staying current on emerging AI/ML advancements.

What we're looking for

  • A university degree is required.
  • 5 to 7 years of experience is required.
  • 5+ years of experience in software engineering with an understanding of AIOps and production deployment practices are required.
  • 3+ years of experience in AI technical products are required.
  • Experience designing and developing generative or agentic AI systems is required.
  • Experience delivering enterprise production AI solutions and integrating with enterprise tools (preferred).
  • Strong AI engineering skills including model integration, prompt engineering, orchestration, evaluation, and productionizing systems (preferred).
  • Familiarity with cloud platforms like AWS, RAG architectures, vector databases, and LLM orchestration tools (preferred).

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