AI/ML Engineer - GenAI Assistant & Experience Engineering

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. We operate like a startup within Adobe-fast, iterative, and customer-focused. Our mission is to build the intelligent systems, models, and services that power Adobe's AI Assistant experience.

We're looking for anAI/ML Engineerwho is excited to build intelligent features using whatever approach solves the problem best.

Some solutions will useLLMs and generative AI, some will rely ontraditional ML, some will beheuristic or rules-based, and many will behybrid systemsthat combine them.

Your job is to evaluate the problem, select the appropriate approach, and deliver high-quality, scalable solutions that improve user experiences.

In this role, you'll build models, design prompts, develop services, run evaluations, and ship features end-to-end. This is a hands-on applied engineering role with broad ownership, where you'll work across modeling, service development, and lightweight ops.

AI, ML & Hybrid Solution Development

• Build and iterate on solutions using thefull spectrumof approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.
• Design, train, fine-tune, and evaluate models for generative AI, classification, search, and content understanding.
• Develop prompting strategies, multi-step prompt workflows, and agents that power interactive AI experiences.
• Build hybrid pipelines that combine deterministic logic with AI/ML components for predictable, reliable outcomes.

• Implement backend services and inference pipelines for the AI Assistant across Experience Cloud.
• Build RAG systems, model-serving layers, experimentation hooks, and scalable APIs.
• Partner with frontend engineers and product teams to turn concepts into shipped features.

• Build automated evaluation pipelines to measure quality, safety, latency, and reliability.
• Prepare datasets for evaluation, fine-tuning, and experimentation.
• Deploy models and services using CI/CD, containers, and cloud workflows.
• Monitor performance and iterate quickly based on data and user signals.

While this is not a dedicated ops role you should be able to own and operate your work end-to-end as projects require.

• Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer-facing features.
• Help define guidelines for AI/ML development, evaluation, and hybrid system building.
• Contribute to shared tools that accelerate experimentation and improve developer productivity.

• 5+ years experience inmachine learning, applied AI engineering, IRor full-stack intelligent feature development.
• Hands-on experience with bothLLM-basedandtraditional MLtechniques, and the judgment to choose the right tool for the job.
• Strong software engineering fundamentals and experience building production services (Node, Python, TypeScript, Go, or similar).
• Experience building and deploying intelligent systems across cloud environments (Azure, AWS, GCP).
• Ability to design evaluation frameworks, run experiments, and iterate rapidly.
• Comfortable owning features from prototype production, including monitoring and optimization.
• Excellent communication and collaboration skills; thrives in fast-paced environments with ambiguity and autonomy.

• Experience with hybrid LLM + deterministic systems, vector search, or orchestration tools.
• Knowledge of Adobe Experience Cloud or other enterprise SaaS ecosystems.
• Contributions to open-source AI/ML tools, model-serving frameworks, or evaluation libraries.
• Prior startup or high-velocity product development experience.

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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.

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