Director, Applied AI & Agentic Solutions

Summary: The Director, Applied AI & Agentic Solutions     is responsible for   leading the delivery, adoption, and evolution of artificial intelligence engineering capabilities across a portfolio of digital products within the Global Digital Network. This role combines technical leadership, organizational leadership, and hands-on engineering   expertise   to enable product teams to build, deploy, and   operate   secure, scalable, and business-impacting AI solutions.   Reporting into the Senior Director, AI Engineering Lead, this role translates enterprise AI engineering strategy into delivery execution, reusable capabilities, and engineering practices across product teams. The Director leads AI engineers and technical specialists while partnering closely with Product, Data Science, Product Engineering, and Core Technology teams to ensure AI solutions achieve intended business outcomes and align with enterprise standards.   ​ The successful candidate is a highly credible technical leader who can   operate   as a player-coach when needed, balancing strategic thinking with practical delivery execution. They are passionate about developing engineering talent, advancing AI engineering maturity, and helping product teams successfully adopt emerging AI technologies.     What You'll Do for Us   Lead the delivery and adoption of AI engineering capabilities across a portfolio of digital products, ensuring solutions are scalable, secure, resilient, and aligned to business priorities.   Manage and develop AI engineering teams, providing coaching, technical direction, performance leadership, and career development.   Partner   with Product Managers, Technical Leads, Data Scientists, and Product Engineering leaders   to prioritize   and deliver high-value AI solutions.   Translate enterprise AI strategy, architecture standards, and platform capabilities into actionable   delivery   roadmaps and implementation plans.   Provide technical leadership on complex AI initiatives, including model   architectures , agent workflows, retrieval strategies, evaluation approaches, and production deployment decisions.   Drive adoption of enterprise AI standards, reusable patterns, development tools, and engineering best practices across product teams.   Lead the design, development, deployment, and operation of   production   AI applications, LLM-powered products, and agent-based solutions.   Ensure effective implementation of   MLOps ,   LLMOps , and   AgentOps   practices, including lifecycle management, deployment automation, observability, monitoring, and operational governance.   Establish engineering quality standards through architecture reviews, code reviews, testing practices, and operational readiness assessments.   Partner   with Core Technology teams to   leverage   enterprise AI platforms, orchestration services, and foundational capabilities while   identifying   opportunities for enhancement.   Ensure AI solutions   comply with   enterprise governance, security, responsible AI, privacy, and risk management requirements.   Drive AI observability and operational excellence through monitoring, evaluation, performance optimization, and continuous improvement practices.   Support the delivery of enterprise digital twin, forecasting, simulation, optimization, and intelligent automation capabilities.   Evaluate emerging AI technologies and engineering approaches and recommend opportunities that improve delivery effectiveness and business impact.   Foster a culture of experimentation, learning, collaboration, and engineering excellence across AI engineering teams.     Requirements & Qualifications   Bachelor's or   Master's degree in Computer Science , Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or   a related   technical discipline.   8 + years of experience in software engineering, AI engineering, machine learning engineering, platform