Senior SOC Engineer, AI & Automation

Overview:

Job Purpose:

The ideal candidate will collaborate with the Security Operations Center (SOC) Engineering team to enhance cybersecurity capabilities by designing, developing and deploying advanced AI and machine learning solutions. They will help to drive AI initiatives forward and shape the future of AI technologies in the organization.

Responsibilities:

Key Responsibilities:

• Design, develop, and implement AI-driven automation solutions to optimize business processes.
• Collaborate effectively with cross-disciplinary teams to identify automation opportunities, gather requirements, and integrate AI systems into processes, services, or products.
• Develop, deploy, and monitor machine learning models for cybersecurity.
• Monitor and fine tune AI and automation pipelines for performance, accuracy, and reliability.
• Document AI models and methodologies for knowledge sharing and continuous improvement.
• Stay up to date with the latest AI/ML trends, tools, and regulatory developments.
• Ensure security, compliance, and responsible use if AI technologies.

Work Experience

• 5+ years of industry experience in AI engineering, machine learning, or related field.
• Technical Skills
• Experience with LLMs, vector databases, AI agentic frameworks, and prompting engineering.
• AI/ML frameworks/Data Science/Machine Leaning/Deep Learning/Statistics/LLMs/ Natural Language Processing
• Programming: Python, Spark, SQL, NoSQL with the capability to write efficient and maintainable code
• Big Data Tools: Apache Hadoop, Apache Spark
• String understanding of data pipelines, REST APIs, and cloud services (Ideally Azure)
• Personal Skills
• Problem-solving and collaborative attitude
• Excellent communication skills
• Desirable Skills
• Cybersecurity domain experience
• Splunk/Sentinel

Qualifications:

Education:

• Bachelor’s or master’s degree in AI/ML Engineering, Computer Science, Data science, or similar relevant degree.