below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$177,737–$276,935
— the blue band above.
At the midpoint, this role pays about
$216k
versus about
$227k
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
8 open roles
on FindRole.
Listed pay typically runs
$138,300–$163,250
across 8 roles with salary data.
The Senior Director, AI Engineering Lead joins the Product & Engineering team within the Global Digital Network to shape how artificial intelligence is engineered, scaled, and governed across the digital products portfolio. This leader will define the enterprise AI engineering roadmap, build and mentor a shared team of AI Engineers, and establish reference architectures for complex initiatives like Retrieval-Augmented Generation, GraphRAG, and multi-agent systems. The role involves developing reusable SDKs, CI/CD patterns, and observability frameworks while ensuring secure, production-ready deployment. Key technical requirements include proficiency in Python, Java, Go, or C++, and experience with frameworks like LangGraph, LangChain, and CrewAI. The position solves the challenge of integrating scalable, governed AI solutions into enterprise systems, specifically advancing digital twin capabilities and establishing robust LLM-powered agentic architectures.
Python
C++
PyTorch
Tensor Flow
Keras
ONNX Runtime
WinML
Linux
Android
QNX
Quantization
Computer Vision
NLP
Generative AI
NPU
GPU
CPU
C
R
Statistics
Probability
Generative AI
MLOps
LLMOps
Agentic AI
Natural Language Processing
Computer Vision
Machine Learning
Cloud-native Architecture
Data Pipelines
AI SDLC
HIPAA
Intelligent Automation
Document Intelligence
Generative AI
Large Language Models
Agentic Systems
Machine Learning
Data Engineering
Graph Intelligence
Anomaly Detection
Distributed Systems
ML Infrastructure
Feature Pipelines
Real-time Systems
Model Evaluation
Observability
Telemetry
Identity Graphs
Bot Detection
Responsible AI