Generative AI Technical Lead

TIAA•Frisco, TX

1d•Onsite

About The Position

This Generative AI Technical Lead will drive the design, development, and delivery of enterprise AI solutions across our organization. This will sit at the intersection of business and engineering, translating stakeholder pain points into working solutions, rapidly prototyping ideas, and building production-grade AI systems that create real value. The ideal candidate combines deep hands-on technical expertise with the ability to navigate a complex enterprise technology landscape and communicate effectively with non-technical stakeholders.

Requirements

5+ years of experience in Software Engineering with an understanding of AIOps and production deployment practices.
3+ years of experience in AI Technical Products
Experience designing and developing AI solutions (generative AI and/or agentic AI systems).

Nice To Haves

Experience delivering enterprise production AI solutions and integrating with enterprise tools.
Strong AI engineering skills spanning model integration, prompt engineering, orchestration frameworks, evaluation, and productionizing AI systems.
A track record of building enterprise AI solutions and successfully navigating the complexity of large organizations—legacy systems, data silos, security constraints, and cross-functional dependencies.
Excellent stakeholder communication skills, with the ability to bridge business needs and technical execution.
Demonstrated ability to move fast—building quick POCs and iterating based on feedback.
Solid grounding in the broader AI/ML ecosystem and a genuine curiosity that keeps you on top of recent advancements.
Experience with major cloud AI platforms like AWS and AI/ML services.
Familiarity with agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools.
Prior experience leading or mentoring technical teams.

Responsibilities

Design, develop, and deploy production-grade AI solutions—including generative AI and agentic AI systems—that address real business needs across the organization
Partner closely with business stakeholders to translate pain points and requirements into technical solutions, serving as a bridge between non-technical partners and engineering teams
Rapidly prototype and iterate on AI proof-of-concepts, gathering stakeholder feedback to refine solutions before moving to production
Architect and implement AI systems leveraging cloud AI platforms (e.g., AWS), agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools
Navigate enterprise complexity—including legacy systems, data silos, security constraints, and cross-functional dependencies—to successfully deliver AI solutions at scale
Apply strong software engineering practices, including AIOps and production deployment standards, to ensure AI systems are reliable, scalable, and maintainable
Lead and mentor technical team members while staying current on emerging AI/ML advancements to continuously evolve the organization's AI capabilities