Manager, Cyber AI Automation Engineer

Summary: Cyber AI Automation Engineer   Overview   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.

AI & Automation Development   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.   Integration & Engineering   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.   Research & Prototyping   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.   Collaboration & Knowledge Sharing   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.

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