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

Job not on LinkedIn

🕒 July 8

🏄 California – Remote

🏄 California – Remote

💵 $85k - $124k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dyson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1991

🔧 Hardware

🏭 Manufacturing

🛒 Retail

Hardware • Manufacturing • Retail

Dyson is a unique technology enterprise known for its innovation and engineering superiority. Originating from a small workshop in rural England, Dyson has grown into a global powerhouse with offices worldwide, from Auckland to Zurich, Shanghai to Chicago. The company's core revolves around engineering but extends to pioneering in diverse technology sectors, including energy storage, robotics, and machine learning. Dyson's products are renowned for quality and innovation, with a strong focus on design and development, which reflects across their vibrant global offices.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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