Director, AI Engineer – Fuelight

Role Overview

The Director, AIEngineeris responsible for leading the delivery, adoption, and evolution of artificial intelligence engineering capabilitiesfor 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 toinvestmarketing 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 practicestopower 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 canoperateas 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.

• Design, develop, and operationalize AI capabilities withinFuelight
  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 withinFuelight
  360.
• Translate enterprise AI strategy, architecture standards, and platform capabilities into actionableFuelight
  360delivery roadmap and implementation plans.
• Provide technicalexpertiseon AI architecture, model integration patterns, and emerging AI technologies to support
  
  Fuelight’sproduct 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 ofMLOps,LLMOps, andAgent
  
  Ops 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 ofproductionAI 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 toleverageenterprise AI platforms, orchestration services, and foundational capabilities whileidentifyingopportunities 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.

• B…