TIAA

Managing Director – Agentic AI Adoption and Integration

TIAA

full-time

Posted on:

Location: Illinois • 🇺🇸 United States

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Salary

💰 $240,000 - $325,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Lead enterprise-wide adoption of AI agents and define vendor partner ecosystem strategies
  • Develop and execute a comprehensive Agentic AI strategy aligned with business objectives
  • Drive full lifecycle of AI products from research to production deployment and build scalable infrastructure and deployment pipelines
  • Partner with product, engineering, and business teams to identify high-impact AI opportunities and integrate agents into workflows and customer channels
  • Establish best practices for model development, evaluation, monitoring, governance, and operational readiness
  • Build assessment frameworks for agent adoption including utility, ROI, and risk evaluation
  • Manage vendor relationships and ensure partner solutions align with enterprise architecture, technology, and compliance standards
  • Drive change leadership, awareness, education, playbooks, and enterprise adoption of agentic AI solutions

Requirements

  • 10+ years of progressive leadership in technology, AI/ML, and/or cloud-enabled transformation
  • Solid foundation in cloud architectures (AWS, Azure, GCP), AI/ML platforms, and modern application ecosystems
  • Experience in operational excellence, scaling enterprise technology, and embedding governance and risk management
  • Experience evaluating, adopting, and scaling emerging AI capabilities in large, complex organizations
  • Deep understanding of AI agents, LLMs, orchestration frameworks, and monitoring/ops
  • Experience driving cross-business value creation through AI technology adoption
  • Exceptional executive presence, communication, and relationship-building with technical and business stakeholders (preferred)
  • Demonstrated ability to lead through influence across a matrix organization (preferred)
  • Forward-leaning mindset toward innovation with pragmatic ability to deliver measurable outcomes (preferred)
  • Related skills: Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics
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