Director of Applied AI & Transformation

Requirements7+ years of experience in software engineering, AI/ML, or technical product leadership,At least 2 years leading teams that shipped AI-powered systems in production,Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases,Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions,Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact,Apply experience working across functional boundaries to redesign processes with strong instincts for change management,Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience,Maintain a bias toward shipping by moving fast and setting clear expectations for high standardsWhat the job involvesMetropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up,You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems,Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality,Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact,Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM,Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration,Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction,Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations,Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact,Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices,Present strategy, progress, and results to senior leadership and the executive team #J-18808-Ljbffr