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

Vaga não está no LinkedIn

🕒 Julho 8

🏄 California – Remoto

🏄 California – Remote

💵 $85.000 - $124.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 7%

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Dyson

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1991

🔧 Hardware

🏭 Manufatura

🛒 Varejo

Hardware • Manufacturing • Retail

A Dyson é uma empresa de tecnologia única, conhecida por sua inovação e superioridade em engenharia. Originária de uma pequena oficina na zona rural da Inglaterra, a Dyson cresceu e se tornou uma potência global com escritórios em todo o mundo, de Auckland a Zurique, de Xangai a Chicago. O núcleo da empresa gira em torno da engenharia, mas se estende para pioneirismo em diversos setores tecnológicos, incluindo armazenamento de energia, robótica e aprendizado de máquina. Os produtos da Dyson são renomados por sua qualidade e inovação, com um forte foco em design e desenvolvimento, que se reflete em seus escritórios globais vibrantes.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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