Director, AI Engineer - Fuelight

Job Description Summary: Role Overview   The Director, AI   Engineer   is responsible for   leading the delivery, adoption, and evolution of artificial intelligence engineering capabilities   for one of the prioritized   digital products within the Global Digital Network   Fuelight .   Fuelight   360 is Coca-Cola's enterprise resource allocation and investment optimization capability. It is a tailor-made, always-on System capability that uses advanced data, analytics, AI, and GenAI to help Coca-Cola and its bottling partners make better decisions about where and how to   invest   marketing and trade   spend .   Reporting into the Senior Director, AI Engineering Lead, this role translates enterprise AI engineering strategy into delivery execution, reusable capabilities, and engineering practices   to   power our   Fuelight   360 solution . 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   Design, develop, and operationalize AI capabilities within   Fuelight   360, translating business and analytical requirements into scalable production solutions   Evaluate, design, and implement generative AI and agent-based solutions that improve decision support, scenario planning, user guidance, and insight generation within   Fuelight   360.   Translate enterprise AI strategy, architecture standards, and platform capabilities into actionable   Fuelight   360   delivery roadmap and implementation plans.   Provide technical   expertise   on AI architecture, model integration patterns, and emerging AI technologies to support   Fuelight's   product roadmap and long-term strategy.    Partner with   Fuelight   Product Managers, Technical Leads, Data Scientists, and Product Engineering leaders to prioritize and deliver high-value AI solutions    Ensure effective implementation of   MLOps ,   LLMOps , and   AgentOps   practices, including lifecycle management, deployment automation, observability, monitoring, and operational governance.   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.   Manage and develop AI engineering teams, providing coaching, technical direction, performance leadership, and career development.   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 engineering, or related technical disciplines.   5+ years of experience leading engineering teams, technical leads, or specialized engineering functions.   Demonstrated experience delivering production AI solutions, including generative AI, large language model applications, intelligent agents, and machine learning systems.   Experience leading delivery across multiple products or business domains in a matrixed environment.   Strong   expertise   in agentic AI   architectures , Retrieval-Augmented Generation (RAG),   GraphRAG , semantic search, vector databases, knowledge graphs, and AI orchestration frameworks.   Hands-on technical   expertise   in Python and cloud-native application development, with Azure preferred.   Experience implementing and operating   MLOps ,   LLMOps , and   AgentOps   capabilities in production environments.   Experience   establishing   engineering standards, reusable frameworks, development accelerators, and   operational best   practices.   Knowledge of responsible AI, cybersecurity, privacy requirements, model governance, and enterprise risk controls.   Strong leadership capabilities with   experience   coaching engineers, leading technical teams, and driving organizational capability growth.   Excellent communication, stakeholder management, and influencing skills.   Strong business acumen and   demonstrated   ability to connect technical solutions to measurable business outcomes.   The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. 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