Generative AI Technical Lead

TIAA
Dallas, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$184,000.0 - $304,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+8 more
Large Language Models Prompt Engineering Generative AI Agentic-AI Functional Dependencies Kubernetes AIOps Legacy Systems

Job 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

Requirements

  • 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

Benefits & conditions

Base Pay Range: $184,000/yr - $304,000/yr

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).

About the company

Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today we’re a market-leading retirement company fueled by world-class asset management. But we’re not just another legacy financial services firm. We’re fighting harder than ever before for our clients and the many Americans who need us.

Our Culture of Impact

At TIAA, we’re on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow’s challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen’s entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways-because when our people succeed, our impact on clients’ lives grows stronger.

Benefits and Total Rewards

The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary (https://www.tiaa.org/public/pdf/benefits-at-a-glance.pdf) .

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