Senior AI Engineer - GenAI & Multi-Agent Systems

Coca-Cola; Atlanta (GA); On-site; USD 152,000 - 178,000; Full time

Job summary

The Coca-Cola Company seeks an experienced AI/ML engineer to design, build, deploy, and operate production‑grade AI solutions for its digital product portfolio in cloud environments. You will prototype, iterate, and productionize domain‑specific AI agents and GenAI solutions for information gathering, insight generation, and intelligent action.

You will implement agents using MCP and A2A standards to securely connect with enterprise data, tools, and external systems, and produce production‑grade

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• 3–5+ years hands-on AI/ML engineering experience taking models to production.
• Proficiency in Python; knowledge of Java or C++.
• Experience deploying LLM-powered and agentic AI applications in production.

Responsibilities

• Prototype and productionize domain AI agents and GenAI solutions.
• Build agents using MCP and A2A standards for secure data & tools integration.
• Deliver production‑grade AI code in Python and other languages.
• Optimize models and inference pipelines for performance and cost.
• Follow Coca-Cola engineering standards for quality, security, and observability.
• Deploy AI agents on Azure and maintain MLOps pipelines.
• Ensure high availability and end-to-end observability for AI products.
• Collaborate with Application and Data Engineering squads to embed AI in product workflows.

Skills

Python

Java

C++

AI/ML engineering

LLM AI

Education

Bachelor’s or Master’s degree in CS/AI/ML

Tools

LangChain

LangGraph

CrewAI

Semantic Kernel

MCP

A2A

Azure

AWS

GCP

Job description

The Coca-Cola Company seeks an experienced AI/ML engineer to design, build, deploy, and operate production‑grade AI solutions for its digital product portfolio in cloud environments. You will prototype, iterate, and productionize domain‑specific AI agents and GenAI solutions for information gathering, insight generation, and intelligent action.

You will implement agents using MCP and A2A standards to securely connect with enterprise data, tools, and external systems, and produce production‑grade