Senior AI Evaluation Specialist — IP Guardrails and Agentic Workflows

Adobe is redefining creativity through generative AI. Our Firefly family of models powers commercially safe content generation across Creative Cloud, Experience Cloud, and Adobe Express— reaching millions of customers worldwide. As we expand into novel AI capabilities including agentic workflows, multi-model orchestration, and autonomous creative agents, we need a leader who can scale the evaluation and safety guardrails that protect our customers, our brand, and creative communities. We are looking for a Senior AI Evaluation Specialist to lead the IP Safety & Agentic Quality Evaluation practice within our Firefly Scientific Eval team. This role begins by owning safety evaluations tied to proprietary content. It ensures generative imagery outputs avoid infringing copyrights, trademarks, publicity rights, or other protected assets. Additionally, it involves crafting evaluation frameworks for novel AI features like agentic systems, multi-step content pipelines, and AI-assisted creative workflows. What You’ll Do IP Safety Evaluation Leadership Own the end-to-end evaluation strategy for intellectual property safety across all Firefly models and surfaces, including image, video, audio, vector, and 3D generation. Design, implement, and iterate on scalable evaluation frameworks that detect potential IP infringement — including copyrighted works, trademarks, recognizable characters, brand logos, and likeness/publicity rights. Partner with Adobe’s Legal, AI Ethics, and Content Authenticity teams to translate legal and policy requirements into measurable evaluation criteria and test suites. Establish benchmarks and quality gates that generative models must pass before shipping, maintaining Adobe’s industry‑leading IP indemnification commitment. Extending to Novel AI Feature Evaluation Architect evaluation methodologies for emerging AI capabilities beyond image generation — including agentic workflows, autonomous multi‑step creative pipelines, AI‑powered content orchestration, and agent‑to‑agent interactions. Define safety and quality evaluation criteria for agentic systems: scope adherence, action‑boundary enforcement, hallucination detection, unintended side effect monitoring, and graceful failure modes. Build proactive red‑teaming and adversarial testing programs that stress‑test new AI features for misuse, prompt injection, and safety edge cases before they reach customers. Collaborate with Product, Engineering, and Research to embed evaluation checkpoints into the AI feature development lifecycle — from prototype through GA release. Develop and maintain dashboards, scorecards, and reporting systems that provide executive insight into AI safety posture across the Firefly portfolio. What You’ll Need 5+ years of experience in AI/ML evaluation, trust & safety, content‑moderation systems, responsible AI, or a closely related technical domain. Deep expertise in evaluation methodology design: benchmark creation, annotation frameworks, inter‑rater reliability, precision/recall analysis, and failure‑mode taxonomies. Strong working knowledge of intellectual property concepts as they apply to generative AI — including copyright, trademark, likeness rights, and fair‑use considerations. Experience with multimodal ML systems (vision, language, audio, or video) and an understanding of how generative model architectures produce outputs. Demonstrated ability to partner with legal, policy, and product teams and translate complex regulatory or legal requirements into actionable technical evaluation plans. Excellent communication skills with the ability to present technical risk assessments to executive leadership and cross‑functional partners. MS or PhD or equivalent experience in Computer Science, Machine Learning, Information Science, or a related field (or equivalent practical experience). What Sets You Apart Experience building evaluation or safety systems specifically for generative AI (image, video, or multimodal models). Hands‑on experience with AI agent evaluation, agentic workflow safety testing, or autonomous‑system verification. Background in large‑scale data annotation operations, human‑in‑the‑loop evaluation pipelines, or dataset curation for safety. Familiarity with content‑authenticity technologies such as C2PA, Content Credentials, or digital‑provenance systems. Familiarity with regulatory frameworks relevant to AI safety (EU AI Act, NIST AI RMF, ISO/IEC 42001). Research contributions or publications in responsible AI, AI safety, fairness, or IP protection in generative systems. Prior experience at a creative‑tools company, media organization, or platform with IP‑sensitive content at scale. #FireflyGenAI About Adobe 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.  Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.  AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.   Expected Pay Range: 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 $154,900 -- $281,000 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 $194,000 - $281,000
In New York, the pay range for this position is $194,000 - $281,000
In Washington, the pay range for this position is $185,300 - $268,250
 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: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.