Senior Product Security Engineer
New
J
JobgetherAI Technology
Based in United StatesFull-TimeSenior
SalaryBase compensation range of £90,000–£122,000 GBP.
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Job Details
- Experience
- 5–7+ years
- Required Skills
- PythonKubernetes
Requirements
- 5–7+ years of experience in product, application, or cloud security engineering.
- Strong knowledge of secure SDLC practices, threat modeling, and secure architecture design.
- Ability to read and review code to support security assessments, threat models, and architectural reviews.
- Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure.
- Practical knowledge of LLM and AI security risks such as prompt injection, model integrity, and provenance.
- Strong understanding of cloud security principles and best practices across multi-cloud environments.
- Familiarity with DevSecOps practices and CI/CD environments.
- Knowledge of encryption fundamentals, including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling.
- Understanding of modern authentication and authorization patterns (OAuth 2.0, OIDC, SAML, RBAC, ABAC).
- Demonstrated ability to lead cross-functional security initiatives.
- Strong communication, stakeholder management, analytical thinking, and influencing skills.
Responsibilities
- Architect and implement security controls for AI/ML systems, including model training, data pipelines, inference environments, and agentic workflows.
- Identify and mitigate AI-specific threats such as prompt injection, data poisoning, model inversion, and model theft.
- Establish controls for model provenance, integrity, auditability, and responsible AI security practices.
- Align AI security initiatives with governance and compliance frameworks such as NIST AI RMF and the EU AI Act.
- Embed security, privacy, and compliance requirements into application, cloud, software, and AI development lifecycles.
- Define and maintain secure development standards, architectural guidance, and security best practices.
- Lead threat modeling, secure design reviews, and risk assessments across the software development lifecycle.
- Build security automation and governance capabilities that integrate naturally into engineering workflows.
- Prepare customer-facing security assurance materials, including questionnaire responses, security whitepapers, and trust documentation.
- Represent product security in customer, leadership, and cross-functional discussions.
- Mentor engineering teams on secure coding, AI risk management, threat modeling, and secure design.
- Promote a security-first culture through documentation, training, advocacy, and continuous improvement.
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