The application window for this role is expected to close on 09/30/2025.
However, the job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Meet the team
The AI Defense team is a passionate and innovative group of experts dedicated to safeguarding AI systems and ensuring their safety, integrity, and robustness.
We are committed to staying at the forefront of the field, employing innovative techniques and strategies to tackle complex challenges.
As part of our team, you will have the opportunity to contribute to the development and deployment of secure AI solutions that make a meaningful impact in industry, and for a better world.
Your Impact
Lead the design, development, and evolution of our AI validation platform, enabling secure and reliable deployment of AI systems.
Drive the creation and curation of AI artifacts including the AI validation prompt bank, AI security policies, AI taxonomies and more, supporting both AI validation workflows and broader AI product development.
Collaborate across engineering, security research, and product teams to establish robust frameworks for evaluating AI systems’ trustworthiness and resilience.
Provide technical leadership and mentorship within the team, establishing leading practices for development, testing, and artifact management.
Minimum qualifications
Bachelor’s degree in Computer Science or related field and 6+ years of software engineering experience, or Master’s degree with 4+ years of experience.
Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP), including container orchestration (e.g., Kubernetes, Docker).
Proven experience in technical leadership, architecture design, and end-to-end feature ownership in AI/ML or platform domains.
Experience with API design and frameworks (e.g. OpenAPI, GraphQL, gRPC, REST, etc.) Preferred qualifications
Exceptional problem-solving skills, with the ability to analyze complex requirements and propose effective solutions.
Experience developing, deploying, and maintaining applications in AWS environment with cloud native solutions.
Experience designing or managing structured content like taxonomy systems, policy engines, or evaluation datasets.
Background in AI security, privacy, or model robustness (e.g., red teaming, DLP for LLMs, misuse detection).