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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

• 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.
• Acquire and develop technology agnostic reference architectures across AI Security Architecture.
• Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps
• Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc.
• Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades
• Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture.
• Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective.
• Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits
• Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery
• Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making.
• Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis.
• Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis.
• Develop scalable algorithms capable of learning, analyzing and predicting future events.
• Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners.
• Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.
• Ability to perform in depth data analysis including but not limited to:
• Machine Learning
• Classification
• Optimization
• Time Series analysis
• Pattern Recognition

Candidate must have thorough understanding and experience on following in terms of AI and AI Security

• Threat models
• Security analysis
• Design and integration into AI and ML infra
• Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc.

QUALIFICATIONS:Required Skills

• 5+ years of experience as Architect with skills on AI and AI Systems.
• 3+ years working with languages Python and SQL
• 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.)
• 5 or more years’ experience presenting and delivering results to business partners and leadership.
• 2 or more years’ experience in Cyber Security domain knowledge.
• Strong project management, negotiation and interpersonal skills
• 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.
• 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.)
• 2 or more years with modern data engineering with APIs
• 2 or more years’ experience in Cyber Security domain knowledge.
• M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study.
• 2 or more years applying agile SDLC.

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