AI Controls Engineer

3+ years of hands-on experience in AI governance / Responsible AI, including defining controls, risk assessments, compliance oversight, or assurance of AI/ML systems.

6+ years of experience in risk management, cybersecurity, compliance, or consulting with experience in client-facing or multi-functional delivery.

Demonstrated experience translating AI governance requirements into technical security controls and working with engineering teams to implement and scale them.

Experience performing AI threat modeling across traditional ML and Generative AI systems, including agent-based architectures.

Familiarity with agentic AI technologies and protocols, including AI agents and autonomous workflows, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication etc.

Familiarity with AI governance standards and regulatory frameworks such as NIST AI RMF, ISO 42001, EU AI Act, and others.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $113,100 -- $228,575 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.



In California, the pay range for this position is $157,900 - $228,575
In New York, the pay range for this position is $157,900 - $228,575
In Washington, the pay range for this position is $148,600 - $215,200


At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

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.

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.