Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996

Description

  • Architect and enforce security controls for AI/ML training, data pipelines, inference environments, and agentic workflows.
  • Identify and mitigate AI-specific threats including prompt injection, data poisoning, model inversion, and model theft.
  • Implement model provenance, integrity, and auditability controls.
  • Embed security, privacy, and compliance into software and AI development lifecycles.
  • Define secure development standards, guidance, and best practices across application and cloud ecosystems.
  • Lead threat modeling, secure design reviews, and risk assessments.
  • Build security automation and governance into development workflows.
  • Prepare customer-facing security questionnaires, whitepapers, and trust materials.
  • Represent product security in customer, leadership, and cross-functional discussions.
  • Mentor teams on secure coding, AI risk management, and secure design while promoting security awareness.

Requirements

  • 5–7+ years of experience in product, application, or cloud security engineering.
  • Deep understanding of secure SDLC, threat modeling, and secure architecture design.
  • Ability to read and review code for threat modeling and design reviews.
  • Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure.
  • Working knowledge of AI/LLM security, including prompt injection, model integrity, and provenance.
  • Expertise in cloud security across multi-cloud environments and familiarity with DevSecOps and CI/CD.
  • Understanding of encryption, TLS/mTLS, key management, and secrets handling.
  • Knowledge of OAuth 2.0, OIDC, SAML, RBAC, and ABAC authentication and authorization patterns.
  • Ability to lead cross-functional security initiatives with engineering, product, and compliance teams.
  • Preferred: Python, Java, or JavaScript; Kubernetes security; software supply-chain security; bug bounty programs; SOC 2, ISO 27001, NIST 800-53, or NIST AI RMF; CKS, CISSP, CSSLP, or AI/ML security certifications.

Benefits

  • Base compensation range of $182,000–$228,000 USD.
  • Performance-based bonus and equity opportunity.
  • Generous benefits program.
  • Career growth opportunities.
  • Opportunity to shape product security strategy and work on AI security challenges.

Interested in this position?

Apply directly on the company website

Apply Now

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