Adobe has 306 active job listings related to artificial intelligence. The majority of these roles, 47%, are focused on agents, with application-focused roles making up another 25%. Engineering is the primary function for these positions, with the United States being the dominant hiring country. Frequent technical tags include model serving, agent orchestration, and fine-tuning, suggesting a focus on deploying and managing AI models.
Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
Adobe currently has 314 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (12), Machine Learning Engineer (6), Machine Learning Engineer 4 (5), Principal Product Manager (5), Software Development Engineer (5). Most positions are in Engineering and Product.
Adobe's active AI hiring is concentrated in: agents (48%), application (25%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Adobe is hiring AI talent in: United States (236 roles), India (50 roles), Romania (22 roles), Canada (3 roles).
Job postings at Adobe most frequently reference: model serving, agent orchestration, llm observability, fine tuning, inference infra.
In the past 30 days, Adobe has posted 119 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Lead Quality Engineer (Gen AI) Seeking a Senior Lead Quality Engineer to define and drive the end-to-end Quality Engineering strategy for AI-powered systems, including LLM-based applications, AI assistants, RAG pipelines, and agent-driven workflows. This role will establish measurable AI quality standards, governance frameworks, automation strategy, and release readiness criteria, focusing on accuracy, safety, reliability, and scalability. | Eval GateAgent | 7 |
| Product Security Engineer Product Security Engineer at Adobe focused on testing AI/ML and LLM-powered products. Responsibilities include reviewing AI-related penetration testing and bug bounty submissions, defining AI testing scope, driving resolution of security issues, building Security Testing reports, and communicating with external researchers. Requires strong application security knowledge, LLM testing methodologies, and hands-on experience in penetration testing AI/ML products. |
| Eval GateAgent |
| 7 |
| Senior Observability Platform Engineer Senior Observability Platform Engineer responsible for building and finding best-of-breed tools for critical Observability services at Adobe. The role involves crafting new tools, maintaining large-scale logging deployments, and shaping Adobe's observability strategy. Key responsibilities include improving logging system performance, stability, and cost efficiency, integrating OpenTelemetry, optimizing ingestion costs, and developing AI-assisted tooling for automation and insights from log data. Requires strong programming skills in Go/Python, cloud platform experience, and defining SLOs/SLIs. | Eval Gate | 5 |