Security AI Engineer & Assurance Analysis

Responsibilities

• Independently manage AI projects throughout their lifecycle, including requirement gathering, development, deployment, and evaluation, ensuring alignment with organizational goals and timelines.
• Collaborate with cross-functional teams to understand requirements for AI solutions, identify pain points, analyze objectives, and translate them into actionable deliverables and workflows.
• Prototype AI-based security solutions using state-of-the-art techniques in deep learning, natural language processing (NLP), and computer vision.
• Develop scalable AI solutions for production environments, transitioning prototypes into stable systems capable of serving a growing user base.
• Automate security workflows for the Security and Privacy teams to improve decision-making and optimize operational efficiency.
• Evaluate AI model performance through rigorous testing, benchmarking, and algorithm refinements to enhance reliability and accuracy.
• Implement industry best practices and security protocols for AI model development and deployment, ensuring compliance with ethical standards and mitigating risks associated with adversarial attacks and vulnerabilities.
• Stay updated on emerging AI security trends, risks, and compliance challenges.
• Own and manage security assurance projects in both security analysis and project management capacity, coordinating efforts across internal stakeholders and meeting project milestones.
• Coordinate with internal and external stakeholders to analyze security risks in critical systems and ensure compliance with security standards.
• Document identified security risks, track remediation efforts, and provide regular updates to key stakeholders, including senior management.

Requirements

• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Equivalent industry experience will also be considered.
• Proficiency in programming with languages such as Python, Java, C++, or similar, and experience working with frameworks like PyTorch, TensorFlow, or other ML libraries.
• Hands-on experience with prompt engineering, natural language processing (NLP), and fine-tuning large language models (LLMs).
• Demonstrated ability to independently manage AI projects, including requirement gathering, development, deployment, and evaluation.
• Experience in building automated workflows for security-related processes using relevant tools and platforms is a plus.
• Knowledge of cybersecurity principles, risk assessment, and AI-specific security methodologies is a plus.
• Adaptive problem-solver with a detailed analytical mindset, capable of working in a fast-paced and dynamic environment.
• Good communication skills in English, with experience documenting technical workflows and providing insights to diverse stakeholders.