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# Generative AI Technical Lead

- **Company:** TIAA
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $304,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Programming, Data Cleansing, Machine Learning, Microsoft Dynamics, Azure Machine Learning, Software Deployment, Software Engineering, Systems Integration, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Functional Dependencies, Kubernetes, AIOps, Legacy Systems
- **Published:** October 4, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3418295848&tx=CT3432TYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* University (Degree)

Work Experience

 * 5-7 years Required
 * 7+ years Preferred, * 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).

Preferred Qualification:

 * 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.

Related Skills

Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics

## Description

* 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