Applied AI Expert / AI Solutions Architect

VinSOC is looking for a senior AI leader to drive the research, development, and real-world application of LLMs, Agentic AI, and advanced machine learning for cybersecurity products.

This role is ideal for candidates who combine strong research depth, hands-on AI productization capability, and team leadership experience to turn advanced AI into scalable, production-ready solutions.

**Key Responsibilities**

• Research and development: Research and develop Large Language Models (LLMs) and Agentic AI systems applied to solving cybersecurity challenges, as well as machine learning models for data analysis and mining.
• Design and Implementation: Design and deploy AI models onto VinSOC’s platform products.
• Innovation and Publication: Drive research into emerging technological solutions with practical applications in cybersecurity; achieve scientific publications or patent registrations.
• Team Leadership: Manage personnel, delegate tasks, and oversee progress according to product release milestones.
• Cross-functional Collaboration: Coordinate with cybersecurity specialist departments to clarify problem statements and propose AI-driven solutions to enhance operational efficiency.

**Requirements**

• Bachelor’s degree with Honors (Distinction) or higher in Information Technology, Computer Science, or related fields. A Master’s or Ph. D. specializing in Artificial Intelligence or Data Mining is required.
• At least 10 years of experience in R&D of AI models and developing AI-driven products.
• Profound understanding of model architectures, including Machine Learning, Deep Learning, and Transformers, proven expertise in efficient model training techniques.
• Broad knowledge and deep hands-on experience in statistical machine learning applied to Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, and Data Analytics.
• Proven track record of deploying AI models into production and real-world applications.
• Strong systems thinking and advanced problem-solving skills.
• Extensive experience in leading R&D teams or AI engineering teams to deliver real-world products or pioneering technological research projects.

**Preferred Qualifications**

• Research Excellence: A strong track record of high-impact scientific publications or patents.
• Domain Expertise: Background knowledge and understanding of the Cybersecurity field, a proactive attitude and a strong willingness to continuously learn and deepen expertise in security-related domains.