Director, Applied AI & Agentic Solutions

Coca-Cola HBC; Atlanta (GA); On-site; USD 171,000 - 198,000; Full time

Benefits offered by this job

Medical benefits

Financial benefits

Job summary

The Coca-Cola Company in Atlanta is seeking a Director of Applied AI & Agentic Solutions to lead, mentor, and scale AI engineering across a portfolio of digital products. You will drive adoption of enterprise AI standards, partner with product and data science teams, and translate strategy into concrete delivery roadmaps.

You will guide architecture, production deployment, MLOps/LLMOps practices, and governance to deliver measurable business impact while advancing AI engineering maturity across

Qualifications

• Bachelor's or Master's degree in a technical field related to AI/Software Engineering.
• 8+ years of experience in software/AI engineering and leadership.
• Proven ability to deliver production AI solutions including generative AI and ML systems.

Responsibilities

• Lead delivery and adoption of AI engineering across multiple digital products.
• Manage and develop AI engineering teams with coaching and direction.
• Partner with product, data science, and engineering leaders to prioritize high-value AI solutions.
• Translate enterprise AI strategy into actionable roadmaps and plans.
• Establish and enforce engineering standards, reusable frameworks, and operational best practices.

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 Model

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Azure

Job description

Job Description Summary: The Director, Applied AI & Agentic Solutions is responsible for leading the delivery, adoption, and evolution of artificial intelligence engineering capabilities across a portfolio of digital products within the Global Digital Network. This role combines technical leadership, organizational leadership, and hands-on engineering expertise to enable product teams to build, deploy, and operate secure, scalable, and business-impacting AI solutions. Reporting into the Senior Director, AI Engineering Lead, this role translates enterprise AI engineering strategy into delivery execution, reusable capabilities, and engineering practices across product teams. 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

• Lead the delivery and adoption of AI engineering capabilities across a portfolio of digital products, ensuring solutions are scalable, secure, resilient, and aligned to business priorities.
• Manage and develop AI engineering teams, providing coaching, technical direction, performance leadership, and career development.
• Partner with Product Managers, Technical Leads, Data Scientists, and Product Engineering leaders to prioritize and deliver high-value AI solutions.
• Translate enterprise AI strategy, architecture standards, and platform capabilities into actionable delivery roadmaps and implementation plans.
• Provide technical leadership on complex AI initiatives, including model architectures, agent workflows, retrieval strategies, evaluation approaches, and production deployment decisions.
• 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.
• Ensure effective implementation of MLOps, LLMOps, and AgentOps practices, including lifecycle management, deployment automation, observability, monitoring, and operational governance.
• 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.

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 Model

Pay Range: United States: 171,000 - 198,000 USD Base pay offered may vary depending on geography, job-related knowledge, skills, and experience.

Annual Incentive Reference Value Percentage: 30 Annual 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 America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: Yes Job Posting End Date: September 18, 2026

A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Our 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.

The Coca-Cola Company is a global community of passionate employees who are refreshing the world and making a difference every day. Innovation has been at the heart of our story since 1886. It goes beyond new flavors and brands. Learn more about our system and how we’re making an impact. As a global organization, we seek opportunities to embrace and champion progress. Our careers span across functions and are globally connected to give you an unmatched career experience. We're glad you've chosen to explore your next career opportunity with The Coca-Cola Company. Learn more about our hiring process and pick up tips on how to showcase your experience and skills so you can stand out and thrive.

The Coca-Cola global business system is composed of The Coca-Cola Company (TCCC), its subsidiaries and 225 bottling partners around the world. Search jobs throughout our system.