Jobs at Prevalent AI

As an IAM Platform Engineer, you will design identity systems and frameworks, implement access controls, and ensure secure authentication patterns across applications and platforms.

A DevOps Engineer at PAI designs and supports cloud-native and hybrid environments, ensuring system performance and security while automating processes and collaborating with developers.

The IAM Engineer is responsible for implementing and managing enterprise identity systems in cloud and hybrid environments, ensuring security and compliance with Zero Trust principles.

The Data Engineer supports the design and development of components for the SDS platform, focusing on data ingestion, processing, and analytics using big data technologies.

The Senior Data Engineer will design and develop components for Prevalent's SDS platform, focusing on data ingestion, processing, analytics, and ensuring code quality, while utilizing big data technologies.

Lead Data Scientist to develop AI-driven security solutions, mentor a team, and oversee advanced analytics projects in cybersecurity. Role involves designing machine learning models, collaborating with business SMEs, and ensuring responsible AI practices.

As a Senior QA Engineer, you will develop automated testing strategies, lead QA processes, and mentor junior engineers while ensuring high-quality product delivery.

As a Senior Product Owner at Prevalent AI, you lead product strategy execution, manage the backlog, and drive delivery of cybersecurity products, aligning with client needs.

The AI Architect will design AI-driven cybersecurity tools, lead AI initiatives, and collaborate with teams to enhance security intelligence and risk management.

As an IAM Architect, you will design and implement secure IAM frameworks, enhance identity management, and collaborate with clients on security strategy.

The Product Manager will oversee strategy and execution for Cyber Domain Applications, focusing on proactive security solutions. Key responsibilities include aligning product vision with client needs, managing product delivery, and collaborating with cross-functional teams to enhance security operations.

The Senior Data Scientist will develop data science methods to meet business requirements, validate data, communicate findings, and prototype data manipulations. Responsibilities include supervising machine learning algorithms, statistical modeling, and ensuring software implementation aligns with design expectations.

The Data Architect will develop and govern data models within the Security Data Fabric, ensuring data integrity and flexibility while collaborating with technical teams and utilizing AI tools to enhance decision-making and model design.