Director of AI Engineering & GenAI Solutions

The Coca-Cola Company; Atlanta (GA); On-site; USD 180,000 - 280,000; Full time

Job summary

The Coca-Cola Company seeks a Director, AI Engineer to lead AI engineering for Fuelight 360, Coca-Cola’s enterprise AI platform for resource allocation and investment optimization. This role reports to the Senior Director, AI Engineering Lead and collaborates with Product, Data Science, and Core Technology teams.

You will guide strategy translation into actionable delivery, build scalable AI capabilities, and drive governance, security, and responsible AI practices while growing the engineering

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.

Responsibilities

• 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

Job description

The Coca-Cola Company seeks a Director, AI Engineer to lead AI engineering for Fuelight 360, Coca-Cola’s enterprise AI platform for resource allocation and investment optimization. This role reports to the Senior Director, AI Engineering Lead and collaborates with Product, Data Science, and Core Technology teams.

You will guide strategy translation into actionable delivery, build scalable AI capabilities, and drive governance, security, and responsible AI practices while growing the engineering