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Join us at Barclays as an AI Security Engineer and help shape the future of financial security by designing and deploying solutions that safeguard our systems and sensitive data. You'll collaborate with a skilled team of data scientists and engineers to lead the GenAI portfolio within SISO, transforming how we secure innovation at scale.
Job Responsibility:
Threat Analysis & Vulnerability Assessment: Conduct regular threat assessments to identify vulnerabilities in AI/ML systems
Develop benchmarks, tools and scripts to automate vulnerability testing for AI/ML applications
Perform code reviews and penetration testing of AI-related software
Research & Development: Stay updated on emerging trends, technologies, and best practices in AI/ML security
Execute PoCs/PoVs to evaluate emerging trends, technologies and practices in the industry
Create high quality technical documentation and user guides
Contribute to the development of cutting-edge AI/ML security tools and techniques
Provision of subject matter expertise on security systems and engineering patterns
Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems
Management and protection of secrets
Execution of audits to monitor, identify and assess vulnerabilities in the banks infrastructure/software and support the response to potential security breaches
Identification of advancements in to support the innovation and adoption of new cryptographic technologies and techniques
Collaboration across the bank to ensure that cryptographic solutions align with business objectives, security policies and regulatory requirements
Development/ Implementation and maintenance of Identity and Access Management solutions and systems
Requirements:
Strong programming and scripting skills specifically python and bash
Strong knowledge of cloud technologies specifically AWS and Azure
Strong knowledge of API development and security
Good understanding/interest in data science methods
Experience with threat modelling, penetration testing, and vulnerability assessments in AI/ML environments (data pipelines, Models APIs etc.)
Familiarity with secure software development practices (e.g., OWASP, DevSecOps)
Strong research, problem-solving and analytical skills
Excellent written and verbal communication skills
Ability to work collaboratively in cross-functional teams