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Job Title: AI Security Architect
Job Description
Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. 

Responsibilities

• Define and expand on the security architecture for ML/AI. 
• Provide security analysis, threat models, or other security-related research for GenAI use cases on cloud platforms. 
• Work collaboratively across the organization.
• Collaborate and support Cyber for AI work in integrating tooling into the overall AI/ML ecosystem.
• Shepherd projects through the entire cybersecurity process. Work in or lead an agile team to design and build architectures on AI solutions.
• Engage proactively with customers to better understand their needs and obtain feedback.
• Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps

QUALIFICATIONS:

Required Skills

• 5+ years of work experience in the Security domain and consulting with product teams on the security architecture. 
• 3+ years of experience and in-depth knowledge of any one major cloud platform (e.g., AWS, Azure, GCP) from a security and containerized deployments perspective. 
• Familiarity with offensive approaches to AI systems, including adversarial examples, model extraction, training data extraction, and data poisoning. 
• Familiarity with legal and privacy requirements for AI/ML.
• Work experience with Machine Learning, Deep Learning, or Artificial Intelligence. 
• Advanced written and verbal communication skills and presentation skills
• You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. 

Preferred

• Certifications in data science, deep learning, and ML
• Exposure to Generative AI and NLP
• Experience on multi cloud.

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