AI Engineering Lead — Production-Grade GenAI Solutions

The Coca-Cola Company; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

The Coca-Cola Company is seeking a Senior Manager, AI Engineer to join the Product & Engineering team within the Global Digital Network. You will design, build, and deploy production-grade AI solutions across Coca-Cola’s digital product portfolio.

You will lead hands-on work on AI agents, GenAI, and cloud-based deployments, collaborating with data scientists, DevOps, and application engineers to turn prototypes into reliable enterprise systems.

Qualifications

• Degree in CS/AI/ML/DS or related field.
• 3–5 years hands-on AI/ML engineering experience.
• Proficiency in Python; working knowledge of Java or C.

Responsibilities

• Develop and deploy AI agents and GenAI solutions, connecting agents to enterprise data and tools.
• Write production-grade AI code with strong quality, security, and observability standards.
• Deploy and operate AI solutions on Azure cloud; build MLOps pipelines for training, inference, versioning, and CI/CD.
• Integrate AI capabilities into enterprise platforms and product workflows with cross-functional teams.
• Implement AI observability, telemetry, and runtime controls for reliable production use.
• Design multi-agent systems to coordinate planning, reasoning, and tool execution.

Skills

Python

Java/C

LLM-powered apps

Azure

AWS/GCP

vector databases

RESTful APIs

MLOps/LLMOps/AgentOps

CI/CD

Docker/Kubernetes

Agile

Responsible AI

Observability/telemetry

Education

Bachelor’s or Master’s degree in CS/AI/ML/DS/Software Engineering

Tools

Azure

AWS

GCP

LangChain

LangGraph

CrewAI

Semantic Kernel

Job description

The Coca-Cola Company is seeking a Senior Manager, AI Engineer to join the Product & Engineering team within the Global Digital Network. You will design, build, and deploy production-grade AI solutions across Coca-Cola’s digital product portfolio.

You will lead hands-on work on AI agents, GenAI, and cloud-based deployments, collaborating with data scientists, DevOps, and application engineers to turn prototypes into reliable enterprise systems.