AI Security Controls Engineer
Adobe · San Jose, CA · Information Technology
mid
Security Engineer
ic
6+ yrs
· Posted Apr 6, 2026
$113,100 – $228,575
USD per year
About this role
Adobe is hiring a mid-level Security Engineer based in San Jose, CA. The posting calls out experience with Express, LLMs, Security, Machine Learning and roughly 6+ years of relevant work. Compensation is listed at $113,100–$228,575 per year.
- Role
- Security Engineer
- Function
- security
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Experience
- 6+ years
- Department
- Information Technology
- Posted
- Apr 6, 2026
AI Summary
Develop and implement AI governance frameworks and security controls for enterprise AI/ML systems. Establish policies, threat models, and access controls for agentic systems while ensuring compliance with regulatory standards. Requires 3+ years AI governance experience and 6+ years cybersecurity/risk management background with demonstrated ability to translate governance requirements into technical controls.
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Job description
from Adobe careersWhat you'll Do
- Partnering with engineering, product, security, and legal teams to build, implement, and scale security controls that mitigate risks arising from AI/ML and agentic systems.
- Establishing and operationalizing an enterprise AI governance framework — including defining policies, translating them into actionable technical control requirements, and ensuring effective implementation across AI systems.
- Defining and coordinating guardrails for AI systems across inputs, outputs, and inter-agent communication (e.g., A2A, MCP etc.), ensuring safety boundaries, content governance, and misuse prevention across orchestration and integration frameworks.
- Crafting and enforcing robust access controls for tools, data sources, and enterprise systems accessible to AI agents, ensuring least-privilege access, secure invocation patterns, auditability, and clear segregation of duties across agent platforms and integration layers.
- Identifying critical control points in autonomous agentic workflows where Human-in-the-Loop (HITL) review is required to mitigate high-risk decisions or actions.
- Developing continuous surveillance methods and controls to ensure alignment with AI governance standards.
- Ensuring alignment with internal policies and external regulatory frameworks (e.g., ISO/IEC 42001, NIST AI RMF, EU AI Act).
- Evaluating threat models across the AI lifecycle to address risks including prompt injection, data poisoning, adversarial attacks, model compromise, etc.
- Developing Key Risk Indicators (KRIs) and metrics to monitor AI security posture and report trends to senior leadership and risk committees.
This is an excerpt. Read the full job description on Adobe careers →