Software Engineer II – AI Engineer, AI Data Privacy, Security & Governance Specialty

Emploi pas sur LinkedIn

🕒 il y a 28 jours

🏄 California – Distant

🏄 California – Remote

💵 $85 000 - $124 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Dyson

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1991

🔧 Matériel

🏭 Fabrication

🛒 Commerce de détail

Hardware • Manufacturing • Retail

Dyson est une entreprise technologique unique, reconnue pour son innovation et sa supériorité en ingénierie. Issue d'un petit atelier en Angleterre rurale, Dyson est devenue une puissance mondiale avec des bureaux dans le monde entier, d'Auckland à Zurich, de Shanghai à Chicago. Le cœur de l'entreprise repose sur l'ingénierie mais s'étend à l'innovation dans divers secteurs technologiques, y compris le stockage d'énergie, la robotique et le machine learning. Les produits Dyson sont réputés pour leur qualité et leur innovation, avec un fort accent sur le design et le développement, reflété dans leurs bureaux mondiaux dynamiques.

Description

• analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies • safeguard GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents • embed data protection, security guardrails, and responsible AI governance across the development lifecycle • support SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management • work with users to define requirements and support applications in production • design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. • build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering • establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management • review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks • define and enforce access controls, authentication, and least-privilege permissions for AI components • implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval • apply data classification, retention, and residency policies across GenAI data flows • monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior • maintain audit trails and logging for plugin, skill, and agent activity • support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act • provide Level II production support for security, privacy, and governance incidents • support incident response, including containment, escalation, and remediation.

🎯 Exigences

• 4+ years of experience in IT or a related field • 2+ years of software engineering experience • 1+ year of experience in AI security, data privacy, or governance • experience with AI coding agent-augmented development • experience with data privacy techniques, including PII detection, redaction, and anonymization • experience with Python, Java, C#, JavaScript, or SQL • experience building and securing applications • knowledge of cloud platforms, containers, and CI/CD practices • understanding of SDLC, APIs, and system architecture • knowledge of databases and data integration • understanding of LLM fundamentals and token behavior • knowledge of security guardrails, including prompt-injection and jailbreak defenses • experience governing plugins, skills, and agents, including registration and lifecycle management • knowledge of identity and access management, including authentication and least-privilege design • familiarity with AI risk frameworks, including the NIST AI RMF and OWASP LLM Top 10 • knowledge of privacy and compliance regulations, including GDPR, CCPA, and the EU AI Act • experience with observability practices, including logging, tracing, and audit trails • experience with Azure, AWS, or GCP • strong communication and requirements-gathering skills.

🏖️ Avantages

• group health insurance benefits (medical, vision, dental) • FSA and HSA healthcare accounts • life and accident insurance • adoption and fertility assistance • paid parental leave of up to 6 weeks • short/long term disability • paid time off for vacation, personal needs, and sick time • up to 17 days of Choice Time Off (CTO) per calendar year • up to 11 paid holidays per calendar year • opportunity to contribute to 401(k) savings and investment plan or deferred compensation plan (if eligible) • employer match of 100% on the first 3% of your contributions for eligible employees