Applied AI Engineer

Job description

At Prime Security, we are on the forefront of integrating artificial intelligence with security to empower product security teams. As an Applied AI Engineer, you will be instrumental in architecting and developing the Prime Security AI risk engine. This engine will analyze vast amounts of unstructured data from, assess risks, predict potential security issues, and formulate actionable mitigation strategies. What will you do: Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically Participate in the ongoing development of Prime's AI capabilities, pushing the boundaries of automated security risk assessments Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders Qualifications: Bachelor's degree in Computer Science, AI, Machine Learning, or a related field Proven experience in developing machine learning models and employing GenAI solutions in a production environment 5 - 7 years of experience working in Python, R, or a similar language Experience with data processing and machine learning frameworks such as TensorFlow, Keras, or PyTorch Familiarity with Jira or similar platforms and an understanding of software development and security processes Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment Prime Security is pioneering the future of Product Security with the first AI Security Architect . As AI transforms how software gets built, we’re reshaping how it gets secured, shifting security to the design phase, where the biggest impact is made. Backed by top-tier investors and already trusted by Fortune 500s, Prime is defining a new category and setting the standard for how AI will power the next generation of secure software development.