Director, Applied AI & Agentic Solutions

The Coca-Cola Company • Atlanta, GA

2d • $171,000 - $198,000

About The Position

Lead a small, senior engineering team that turns business questions from Coca-Cola operating units and bottlers into secure, governed AI agents grounded in enterprise data on Azure and Databricks. The solutions support decisions about pricing, packs and promotions across markets on four continents, and are increasingly delivered inside Microsoft Teams.

This is a hands-on, player-coach role. The director owns architecture and production delivery, reads and reviews code, sets engineering standards and remains accountable for what runs in production. The role also serves as the technical voice to non-technical executives, translating broad requests into realistic commitments and balancing business needs with technical trade-offs and governance.

The role leads and develops AI engineers; establishes reusable patterns and engineering practices; and oversees production evaluation, observability, governance, security, privacy and access control. Solutions are built on enterprise platforms and standards, including Azure OpenAI, Databricks and Python, with a focus on secure, scalable and resilient production systems.

The position is based in Atlanta, United States, with 0%–25% travel and relocation provided. Coca-Cola will not sponsor employment-based visas; applicants must already be authorized to work full-time in the United States without requiring company sponsorship. The listed U.S. base pay range is $171,000–$198,000, with an annual incentive reference value of 30% at target. Benefits are offered, with the full range dependent on the position.

Requirements

• At least 7 years of experience in software, AI, ML or platform engineering.
• At least 5 years leading engineering teams or functions.
• Career progression from engineer or architect into leadership, with personal experience shipping production code and the ability to read and review code.
• Experience delivering production generative AI and agentic solutions at enterprise scale, including RAG, vector search and agents with tool calling; pilots or research alone do not meet this requirement.
• Ability to communicate technical vision to non-technical executives and deliver in large, politically complex, matrixed organizations.
• Currently authorized to work full-time in the United States and able to continue working legally without Coca-Cola sponsorship.

Nice To Haves

• Deep, hands-on Azure experience, such as Azure OpenAI and Azure AI Foundry, Azure Databricks, Azure Functions or AKS, and Azure data services.
• Experience with Databricks, data warehousing or lakehouse platforms and terabyte-scale data.
• Experience delivering solutions across multiple global regions, including APAC, Africa, LATAM and EMEA.
• Experience with GraphRAG, knowledge graphs, semantic search, LangChain or LangGraph, Semantic Kernel, AutoGen, and AI observability or governance tooling.
• Consumer goods, commercial or revenue growth management domain experience.
• Skills in 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 and Waterfall Model.

Responsibilities

• Own the architecture and delivery of production AI solutions, including RAG, tool-calling agents, LLM applications and the machine learning behind them, using Azure OpenAI, Databricks and Python.
• Lead and grow a team of AI engineers by hiring, coaching, reviewing code, setting engineering standards and developing careers.
• Remain hands-on with technology and make significant technical decisions while ensuring accountability for systems running in production.
• Oversee LLM output evaluation, observability, governance, security, privacy and access control for AI solutions.
• Translate the AI vision into a deliverable roadmap, reusable patterns, engineering practices and realistic commitments aligned with enterprise platforms and standards.
• Communicate technical vision to senior business stakeholders across APAC, Africa, LATAM and EMEA; translate broad requests into achievable commitments, manage trade-offs and governance, and deliver measurable business outcomes.

Benefits

• A full range of medical, financial and/or other benefits, dependent on the position.
• Relocation provided.
• Annual incentive reference value of 30% of base pay at target.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed