Senior Director, AI Engineering Lead

The Coca‑Cola Company

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$202,000–$229,000 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Sep 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $216k
$165k most similar roles pay here $281k

This role pays less than 61% of similar roles. Most pay $180,937–$262,004 — the shaded band above. At the midpoint, this role pays about $216k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 12 open roles on FindRole.

Listed pay typically runs $152,000–$178,300 across 12 roles with salary data.

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View all roles at The Coca‑Cola Company

At a glance

TL;DR · Senior Director, AI Engineering Lead

The Senior Director, AI Engineering Lead joins the Product & Engineering team within Global Digital Network to shape how artificial intelligence is engineered, scaled, governed, and adopted across a diverse product portfolio. This role involves defining the enterprise AI engineering roadmap, leading a dedicated team of AI Engineers, and establishing core architectures for features like Retrieval-Augmented Generation (RAG), GraphRAG, multi-agent systems, and memory strategies. The candidate will build reusable SDKs, CI/CD patterns, and evaluation frameworks while ensuring production-ready safety and observability. Key technical requirements include proficiency in Python, Java, Go, or C++, along with experience in LLM-powered applications using LangChain, LangGraph, CrewAI, or Semantic Kernel. The role focuses on solving complex engineering challenges involving model selection, prompt lifecycle management, and the development of enterprise digital twin capabilities within a large-scale corporate environment.

What you'll do

  • Define the enterprise AI engineering roadmap, including platform evolution, orchestration capabilities, and developer tooling.
  • Build and lead a shared team of AI Engineers through hiring, coaching, and technical mentorship.
  • Provide technical leadership on complex initiatives involving model selection, prompt/agent architectures, and retrieval pipelines.
  • Establish reference architectures for RAG, GraphRAG, multi-agent systems, and secure interoperability standards.
  • Develop reusable engineering assets such as SDKs, CI/CD patterns, and testing frameworks to accelerate product team delivery.
  • Define operational standards for prompt lifecycle management, evaluation pipelines, observability, and cost optimization.
  • Implement responsible AI practices including guardrails, monitoring, and audit logging to ensure secure and compliant products.
  • Partner with cross-functional teams to translate business goals into scalable AI capabilities across the product portfolio.

What we're looking for

  • BS or MS in Computer Science, Machine Learning, Engineering, or a related technical discipline, or equivalent practical experience.
  • 8-10+ years of experience in software or AI/ML engineering.
  • 3+ years of experience leading or managing engineering teams.
  • Demonstrated experience designing, deploying, and operating production AI systems, including end-to-end ML pipelines and agentic AI solutions.
  • Strong understanding of LLM-based systems, including RAG, prompt engineering, and AI interoperability standards like MCP or A2A.
  • Hands-on expertise in backend engineering, API design, and cloud-native development using Python and one or more of Java, Go, or C++.
  • Experience with MLOps, LLMOps, or AgentOps practices including prompt lifecycle management and production monitoring.
  • Authorized to work.

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