The Coca-Cola Company
The Coca-Cola Company

Director, AI Engineer - Fuelight

Atlanta, GA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
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Fitment

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Job Details

Skills

  • Network
  • Resource Allocation
  • Data Analysis
  • Reporting
  • Strategic Thinking
  • Analytical Skill
  • Decision Support
  • Roadmaps
  • Product Engineering
  • Lifecycle Management
  • Management
  • Coaching
  • Technical Direction
  • Testing
  • Risk Management
  • Operational Excellence
  • Evaluation
  • Performance Tuning
  • Continuous Improvement
  • Forecasting
  • Optimization
  • Collaboration
  • Computer Science
  • Data Science
  • Software Engineering
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Semantic Search
  • Vector Databases
  • Orchestration
  • Python
  • Cloud Computing
  • Application Development
  • Microsoft Azure
  • Artificial Intelligence
  • Cyber Security
  • Privacy
  • Leadership
  • Communication
  • Stakeholder Management
  • Business Acumen

Summary

Role Overview

The Director, AIEngineeris responsible forleading the delivery, adoption, and evolution of artificial intelligence engineering capabilitiesfor one of the prioritizeddigital products within the Global Digital Network Fuelight.Fuelight360 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 tradespend.

Reporting into the Senior Director, AI Engineering Lead, this role translates enterprise AI engineering strategy into delivery execution, reusable capabilities, and engineering practicestopower ourFuelight360 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.

What You'll Do for Us

  • Design, develop, and operationalize AI capabilities withinFuelight360, 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 withinFuelight360.

  • Translate enterprise AI strategy, architecture standards, and platform capabilities into actionableFuelight360delivery roadmap and implementation plans.

  • Provide technicalexpertiseon AI architecture, model integration patterns, and emerging AI technologies to supportFuelight'sproduct roadmap and long-term strategy.

  • Partner withFuelightProduct Managers, Technical Leads, Data Scientists, and Product Engineering leaders to prioritize and deliver high-value AI solutions

  • Ensure effective implementation ofMLOps,LLMOps, andAgentOpspractices, 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.

  • Partnerwith Core Technology teams toleverageenterprise AI platforms, orchestration services, and foundational capabilities whileidentifyingopportunities for enhancement.

  • Ensure AI solutionscomply withenterprise 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 orMaster's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, ora relatedtechnical 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.

  • Strongexpertisein agentic AIarchitectures, Retrieval-Augmented Generation (RAG),GraphRAG, semantic search, vector databases, knowledge graphs, and AI orchestration frameworks.

  • Hands-on technicalexpertisein Python and cloud-native application development, with Azure preferred.

  • Experience implementing and operatingMLOps,LLMOps, andAgentOpscapabilities in production environments.

  • Experienceestablishingengineering standards, reusable frameworks, development accelerators, andoperational bestpractices.

  • Knowledge of responsible AI, cybersecurity, privacy requirements, model governance, and enterprise risk controls.

  • Strong leadership capabilities withexperiencecoaching engineers, leading technical teams, and driving organizational capability growth.

  • Excellent communication, stakeholder management, and influencing skills.

  • Strong business acumen anddemonstratedability to connect technical solutions to measurable business outcomes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-145090
  • Posted 1 hour ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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