AI/ML Engineer – Gen AI Assistant & Experience Engineering

Adobe Experience Cloud | Gen AI Experience Engineering

About the Team:

The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. Weoperatelike a startup within Adobe—fast, iterative, and customer-focused. Our mission is to buildthe intelligentsystems, models, and services that power Adobe’s AI Assistant experience.

The Opportunity:

We’relooking 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, choose the right approach, and deliver high-quality, scalable solutions that improve user experiences.In this role,you’llbuild models, design prompts, develop services, run evaluations, and ship features end-to-end. This is a hands-on applied engineering role with broad ownership, whereyou’llwork across modeling, service development, and lightweight ops.

WhatYou’llDo:

AI, ML & Hybrid Solution Development

• Build anditerate onsolutions using thefull spectrumof approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.

• Design, train, and evaluate classical ML models whereappropriate, and integrate, fine-tune (via prompting or adapters), and evaluate partner-provided LLMs for generative AI, classification, search, and content understanding use cases

• 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.

Service & Feature Engineering

• 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 withfrontendengineers and product teams to turn concepts into shipped features.

Evaluation, Data, and Light Ops

• 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 opsroleyou should be able to own andoperateyour work end-to-end as projects require.

Cross-Functional Collaboration

• Work closely with Product, Engineering,Designand ML teams to explorenew ideasand deliver customer-facing features.

• Help define best practices for AI/ML development, evaluation, and hybrid system design.

• Contribute to shared tools that accelerate experimentation and improve developer productivity.

What You Bring:

• 5+years experienceinmachine learning, applied AI engineering,IRor full-stack intelligent feature development– prioritizingexperience with core ML problem-solving, such as building/designing or debugging predictive models (over operational pipelines and monitoring)

• 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).

• 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;thrivesinenvironments with ambiguity and autonomy.

Nice to Have

• 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.