Offer summary
Qualifications:
Bachelor’s or Master’s in Computer Science, Cybersecurity, AI or related field +5 years experience, Hands-on experience securing AI systems in production environments, Experience in full-stack design using microservices and modern frameworks such as Angular or React, Familiarity with distributed languages like Python/Golang and RESTful APIs, Experience with scalable databases and cloud technologies.
Key responsabilities:
- Lead security initiatives for AI product lifecycle security.
- Develop secure software applications for AI products.
- Engage with product and partner teams to enhance security posture.
- Gather requirements and manage expectations with team members.
- Automate security scanning within release pipelines.