G42
Senior SOC Engineer (AI & Automation)
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 01/03/2026
Job overview
Date posted
15/01/2026
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
01/03/2026
Job description
The Senior SOC Engineer (AI & Automation) at CPX is responsible for driving innovation within the Security Operations Center by designing, deploying, and managing AI-powered and automation-driven solutions. The role focuses on productionizing AI/ML and GenAI capabilities, building scalable backend and distributed systems, and optimizing incident response and SOC operational efficiency. The position leverages cloud-native technologies, particularly Azure, combined with DevOps and MLOps practices to deliver secure, compliant, and highly observable platforms. Responsibilities include developing feature and embedding stores, vector and semantic search infrastructure, RAG pipelines, evaluation dashboards, prompt and version management systems, and feedback loops. The role integrates AI technologies with existing SOC tools, ensures responsible AI guardrails, supports security and data protection requirements, and collaborates closely with Product, Data Science, Data Engineering, Design, and DevOps/SRE teams. Documentation, training, performance monitoring, and mentoring of junior engineers are integral parts of the mandate.
Required skills
Key responsibilities
- Design, develop, and maintain AI-driven full-stack automation solutions to enhance SOC workflows and operational efficiency
- Develop and operate scalable backend services and APIs for AI and ML workloads using Python, Typescript, and Node.js
- Build and evolve AI/ML platform components including feature stores, embedding stores, vector search, semantic search, RAG pipelines, and evaluation dashboards
- Implement security, data protection, and responsible AI guardrails to ensure compliant use of models and data
- Apply cloud-native and DevOps best practices using Azure, on-prem containerization, CI/CD pipelines, and infrastructure-as-code
- Integrate AI and automation technologies with existing SOC tools and orchestrate workflows across security systems
- Monitor, optimize, and troubleshoot performance, reliability, and scalability of AI and automation platforms
- Collaborate with cross-functional teams to translate business and security requirements into robust technical solutions
- Maintain detailed documentation of AI workflows, configurations, and procedures
- Provide training, guidance, and mentorship to internal users and junior engineers
Experience & skills
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Cybersecurity, or related field
- Minimum of 7 years of experience in software engineering with strong exposure to machine learning, backend development, and distributed systems
- Hands-on experience deploying AI/ML and Generative AI solutions in production, including fine-tuning transformer-based models and RAG pipelines
- Strong programming proficiency in Python and Typescript with automation scripting experience
- Experience with MLOps including CI/CD for ML workflows, model deployment, monitoring, and data drift management
- Expertise with AI/ML frameworks and tools such as Hugging Face Transformers, LangChain, MLflow, vLLM, Ollama, or equivalent platforms
- Experience building distributed, scalable services with robust observability across metrics, logs, traces, dashboards, and alerts
- Prior experience in a cybersecurity or SOC-related technical role preferred
- AI/ML or platform and automation certifications are advantageous