Engineering Director – AI Guardrails

Role Overview

• Lead the vision, architecture, roadmap, and 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.
• 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.

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
• 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 AI Governance and Compliance principles
• Experience implementing enterprise-grade security, compliance, and data governance frameworks
• Expertise with Responsible AI, model risk management, or regulatory considerations
• Demonstrated ability to influence and partner with senior technology and business leadership.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems

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