Gen AI Engineering Senior Director

U.S. BankMinneapolis, MN
$181,730 - $213,800Hybrid

About The Position

The Gen AI Engineering Senior Director leads the strategy, architecture, and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. This role is responsible for building and scaling secure, resilient, and high-performing platforms that enable enterprise-wide AI adoption. The Director oversees multiple engineering teams and leaders, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI.

Requirements

  • Bachelor's degree, or equivalent work experience
  • 10 or more years of relevant software engineering experience
  • Six or more years of experience leading multiple software engineering teams
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Minimum 5 years of experience managing engineering teams, including direct oversight of engineering managers and senior technical staff.
  • 10+ years of experience in software engineering, platform engineering, or related disciplines.
  • Proven experience designing and delivering large-scale, distributed systems and cloud-native platforms (Azure and/or AWS).
  • Working knowledge of AI/ML and GenAI concepts, including familiarity with LLMs, RAG architectures, and AI application integration (deep specialization not required).
  • Familiarity with MLOps practices, including CI/CD concepts for models, monitoring, and lifecycle considerations.
  • Experience implementing enterprise-grade security, compliance, and data governance frameworks.
  • Demonstrated ability to influence and partner with senior technology and business leadership.

Nice To Haves

  • Experience supporting or partnering on AI/ML or GenAI platform initiatives.
  • Familiarity with Responsible AI, model risk management, or regulatory considerations.
  • Experience with API-first platforms and event-driven architectures.
  • Background in financial services or other highly regulated industries.
  • Experience leading geographically distributed and multi-vendor engineering teams.

Responsibilities

  • Lead the vision, architecture, and roadmap for enterprise AI platforms, including GenAI, LLM integration, Retrieval-Augmented Generation (RAG), and AI-driven search.
  • Provide technical leadership across multiple engineering teams; develop engineering managers and senior engineers while establishing standards, guardrails, and governance models.
  • Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization.
  • Oversee MLOps and production operations, including CI/CD pipelines, model deployment, monitoring, evaluation, and lifecycle governance.
  • Ensure alignment with enterprise requirements for security, data privacy, compliance, and Responsible AI practices.
  • Drive cross-functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption.
  • Maintain strong awareness of team delivery, technical issues, and platform risks; step in to review designs, code, and architectural decisions as needed.
  • Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking.
  • Enforce operational rigor across teams, including keeping Jira artifacts current, transparent, and aligned to priorities.
  • Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes.
  • Manage core people leadership responsibilities, including addressing HR-related matters, supporting employee development, and ensuring team engagement.
  • Ensure continuity of delivery through appropriate backup coverage, resource planning, and support during team member absences.
  • Oversee administrative responsibilities such as time tracking and compliance with enterprise processes (e.g., timesheets, reporting).
  • Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery.

Benefits

  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service