Job Description 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.
Key Responsibilities
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.
Qualifications
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.
Relevant certifications such as CISSP, GIAC (any), or cloud/AI certifications (Azure AI Engineer, AWS ML Specialty, or equivalent) are a plus.
Education
Bachelor's degree in Computer Science, Data Science, Engineering, Cybersecurity, or related technical field required.
Master's degree in a relevant discipline, or equivalent professional experience, highly desirable.
Reporting Relationship
Reports to the Senior Director, AI Cyber Programs and Emerging Technology, within the Cyber Defense team of the Chief Information Security Office (CISO) organization.
No direct reports.
Location
Atlanta, GA (Global Headquarters)
Travel
Estimated up to 10% travel, primarily domestic, with occasional travel for industry conferences, training, and vendor engagements.
Skills:
Pay Range:
United States of America: 124,600 USD - 148,200 USDBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
August 14, 2026Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Skills Required
- 8+ years combined experience in cybersecurity and software engineering or applied AI/ML
- Proficiency in Python
- Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn
- Experience building and deploying AI/automation solutions in production, including agentic AI systems, LLM-based workflows, or ML pipelines
- Hands-on experience with security operations tooling (SIEM, SOAR, EDR, threat intelligence platforms) and building integrations via APIs
- Working knowledge of large language models, prompt engineering, retrieval-augmented generation (RAG), and agentic AI frameworks
- Experience with data engineering concepts (data pipelines, ETL/ELT) and large-scale security telemetry
- Strong understanding of cybersecurity fundamentals (threat detection, incident response, vulnerability management)
- Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native AI/ML services
- Bachelor's degree in Computer Science, Data Science, Engineering, Cybersecurity, or related technical field
- Master's degree or equivalent professional experience
- Certifications (CISSP, GIAC, Azure AI Engineer, AWS ML Specialty, or equivalent)
The Coca-Cola Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Coca-Cola Company and has not been reviewed or approved by The Coca-Cola Company.
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Retirement Support — Retirement benefits are positioned as a standout, combining a 401(k) match with a company-funded cash-balance pension and an employee stock purchase plan match that together materially increase long-term package value.
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Healthcare Strength — Health coverage is described as broad and feature-rich, including national medical coverage plus specialized add-ons like virtual care, second opinions, oncology navigation, fertility support, and chronic-condition programs.
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Leave & Time Off Breadth — Time-off benefits are outlined with structured vacation accrual that increases with tenure and a holiday program that includes both set and floating days.
The Coca-Cola Company Insights
What We Do
The Coca-Cola Company (NYSE: KO) is a total beverage company, offering over 500 brands in more than 200 countries and territories. In addition to the company’s Coca-Cola brands, our portfolio includes some of the world’s most valuable beverage brands, such as AdeS soy-based beverages, Ayataka green tea, Dasani waters, Del Valle juices and nectars, Fanta, Georgia coffee, Gold Peak teas and coffees, Honest Tea, innocent smoothies and juices, Minute Maid juices, Powerade sports drinks, Simply juices, smartwater, Sprite, vitaminwater and ZICO coconut water.
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