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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Adobe hiring for?

    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.

  • What stage of AI development does Adobe focus on?

    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.

  • Where is Adobe hiring AI talent?

    Adobe is hiring AI talent in: United States (236 roles), India (50 roles), Romania (22 roles), Canada (3 roles).

  • What technologies does Adobe's AI team work with?

    Job postings at Adobe most frequently reference: model serving, agent orchestration, llm observability, fine tuning, inference infra.

  • How many AI roles has Adobe posted recently?

    In the past 30 days, Adobe has posted 119 new AI-related roles.

Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).

Hiring
218 / 272
Momentum (4w)
↓-253 -50%
250 opens last 4w · 503 prior 4w
Salary range · avg $221k
$114k–$397k
USD · disclosed roles only
Tracked since
Mar 16
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Nov 3
2 new roles
10
1 new role
17
2 new roles
24
4 new roles
Dec 15
1 new role
22
2 new roles
Jan 5
2 new roles
12
1 new role
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1 new role
Feb 9
337 new roles
Mar 16
76 new roles
23
165 new roles
30
108 new roles
Apr 6
96 new roles
13
94 new roles
20
137 new roles
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May 4
73 new roles
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Jun 1

Jobs (7)

217 AI · 667 total active
FilteredCountryRomania×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 4Pretrain · 8Post-train · 24Serve · 27Agent · 108Eval Gate · 3Ship · 43
Function
AllEngineering · 158Product · 36Research · 23
Country
AllUnited States · 171India · 33Romania · 7Canada · 2Japan · 2United Kingdom · 2Armenia · 1Germany · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior ML Engineer - Firefly
Senior ML Engineer at Adobe Firefly team, focusing on adapting large-scale pretrained multimodal generative models (image, text, video) for creative products. Responsibilities include research, prototyping, integrating new techniques, building end-to-end pipelines, and contributing to data strategy and user workflows. Requires strong ML engineering, deep learning, generative model, and Python skills, with experience in large-scale ML pipelines from training to inference.
Post-trainServeEngineeringBucharest, RomaniaApr 49
Machine Learning Services Engineer - Firefly
The ML Services Software Development Engineer will architect and implement performant, robust, and scalable GenAI services supporting deep learning models in large-scale, distributed environments. This role leads inference platform projects, collaborates with ML researchers to optimize GPU utilization, and monitors ML platform performance.
Serve
Engineering
Bucharest, Romania
Apr 4
8
Adobe Express Presentations - Senior Software Engineer
Senior Software Engineer for Adobe Express Presentations, focusing on building and improving AI/ML-powered features like Generative Presentations. The role involves owning backend systems, collaborating with product/design, and driving technical decisions. Requires strong TypeScript/JavaScript and hands-on AI/ML experience with LLMs or TensorFlow.js. Bonus for experience with LLM systems, agent architectures, and multi-agent coordination.
AgentServeEngineeringBucharest, Romania5d ago7
Software Development Engineer
Software Development Engineer at Adobe focused on defining and evolving agentic architectures for production workflows within the Adobe Express AI Assistant ecosystem. The role involves developing sub-agents, defining success metrics and guardrails, taking ideas from prototype to production, and owning key business metrics. Responsibilities include continuous improvement through data analysis, establishing evaluation pipelines, and identifying/fixing failure modes. Requires strong experience with LLM APIs, prompt engineering, RAG, vector databases, and deploying scalable services, with a focus on system thinking and observability.
AgentEngineeringBucharest, Romania2w ago7
Software Development Engineer - Adobe Sites Optimizer
Software Development Engineer to build cloud services integrating AI/ML and generative AI for Adobe's AEM Sites Optimizer and LLM Optimizer product. The role involves analyzing data, automating hypotheses into self-learning AI-first software, designing prompt engineering strategies, and utilizing RAG.
AgentEngineeringBucharest, RomaniaApr 87
Machine Learning Engineer - Evergreen
Machine Learning Engineer at Adobe focused on building and scaling data products and AI/ML solutions for enterprise customers, involving the full lifecycle of model development, deployment, and maintenance.
ServeEngineeringBucharest, RomaniaApr 47
Engineering Manager - Adobe Express (with AI/ML Expertise)
Engineering Manager for Adobe Express in Bucharest, Romania, responsible for leading a team of engineers developing AI/ML-powered features and driving AI adoption across teams. The role involves managing feature development, collaborating with cross-functional teams, determining technical requirements, and promoting innovation. Key responsibilities include hands-on AI/ML experience, driving AI adoption beyond a single team, establishing success metrics, and contributing to governance practices for safe and scalable AI usage.
ShipEngineeringBucharest, RomaniaMar 247