Manager, Cyber AI Automation Engineer

The Coca-Cola Company•Atlanta, GA

5d•$124,600 - $148,200•Onsite

About The Position

The Cyber AI Automation Engineer is The Coca-Cola Company's hands-on builder and integrator of AI-driven capabilities within the cybersecurity function. This role designs, develops, and deploys AI and automation solutions that make security operations faster, more accurate, and more scalable, from intelligent alert triage and automated investigation workflows to agentic security operations and AI-assisted threat analysis. The Engineer translates the AI Cyber Programs strategy into working systems that deliver measurable operational impact. Reporting to the Senior Director, AI Cyber Programs and Emerging Technology, this is a senior individual-contributor role that combines deep expertise in AI and machine learning with strong cybersecurity domain knowledge. The Engineer works at the intersection of security operations, data engineering, and applied AI, building solutions that integrate with the Company's existing security tooling while pushing the frontier of what automation can accomplish in a global enterprise cyber defense environment.

Requirements

Minimum 8–12 years of combined experience in cybersecurity and software engineering or applied AI/ML, with significant hands-on experience building AI-driven solutions for security operations.
Strong software engineering skills, including proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.
Demonstrated experience building and deploying AI and automation solutions in production environments, including agentic AI systems, LLM-based workflows, or ML pipelines.
Hands-on experience with security operations tooling, including SIEM, SOAR, EDR, and threat intelligence platforms, with the ability to build integrations and automation against their APIs.
Working knowledge of large language models, prompt engineering, retrieval-augmented generation (RAG), and agentic AI frameworks.
Experience with data engineering concepts, including data pipelines, ETL/ELT, and working with large-scale security telemetry.
Strong understanding of cybersecurity fundamentals, including threat detection, incident response, vulnerability management, and common adversary techniques.
Experience with cloud platforms (Azure, AWS, or GCP), including cloud-native AI/ML services and infrastructure.
Excellent problem-solving skills and the ability to work independently on complex, ambiguous technical challenges.

Nice To Haves

Relevant certifications such as CISSP, GIAC (any), or cloud/AI certifications (Azure AI Engineer, AWS ML Specialty, or equivalent) are a plus.
Master's degree in a relevant discipline, or equivalent professional experience, highly desirable.

Responsibilities

Design, develop, and deploy AI-driven automation solutions for cybersecurity operations, including intelligent alert triage, automated investigation workflows, threat classification, and anomaly detection.
Build and maintain agentic AI systems that can autonomously perform security tasks such as data collection, enrichment, analysis, and reporting under human oversight.
Develop and fine-tune machine learning models for security use cases, including detection, classification, prioritization, and natural language processing of security data.
Create robust data pipelines that ingest, normalize, and prepare security telemetry for AI and ML consumption.
Integrate AI and automation capabilities with the Company's security tooling, including SIEM, SOAR, EDR, threat intelligence platforms, and cloud security tools.
Build APIs, connectors, and orchestration layers that allow AI-driven capabilities to operate seamlessly within existing security workflows.
Ensure solutions are production-grade: reliable, scalable, monitored, and maintainable in a global enterprise environment.
Implement appropriate guardrails, logging, and human-in-the-loop controls for AI-driven security operations.
Evaluate emerging AI technologies, frameworks, and approaches for applicability to cybersecurity operations.
Rapidly prototype and test new AI-driven capabilities, iterating based on feedback from security operations teams.
Stay current with developments in applied AI, large language models, agentic frameworks, and their applications to cybersecurity.
Contribute to the team's technical roadmap by identifying high-impact opportunities for AI and automation.
Partner closely with Cybersecurity Operations, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify automation opportunities and ensure solutions meet operational needs.
Document solutions, architectures, and operational procedures to enable team knowledge sharing and continuity.
Provide technical guidance and mentorship to team members and partners on AI and automation best practices in security contexts.