Director AI Engineer
The Coca-Cola Company
Director AI Engineer
The Coca-Cola Company
Sells soft drink concentrates to bottlers worldwide
Job Description 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 NetworkFuelight.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.
Skills:
Agile Methodology, Application Development, Business Processes, Business Value Creation, Change Management, Influencing, Microsoft Azure, Microsoft Office, Negotiation, Process Improvement Plans, Risk Mitigation Strategies, Software Development, Software Development Life Cycle (SDLC), Strategic IT, Vendor Management, Waterfall ModelPay Range:
United States: 171,000 - 198,000 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
30Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
YesJob Posting End Date:
November 29, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Sells soft drink concentrates to bottlers worldwide
The Coca-Cola Company owns and markets beverage brands sold around the world, including Coca-Cola, Sprite, Fanta, Dasani, Powerade and fairlife. Its flagship cola has been sold in the United States since 1886 and anchors a portfolio spanning sparkling drinks, water, sports drinks, coffee, tea, juice and dairy. Rather than bottling most drinks itself, it sells concentrates and syrups to a franchised network of independent bottlers, which package and distribute finished beverages. It earns most revenue from those concentrate sales, plus finished drinks from bottlers it owns. The company was incorporated in 1892 and is headquartered in Atlanta, Georgia.
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