Senior AI Platform Engineer

Adobe

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $183,300–$265,350 / yr
Posted: 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k

This role $224k

$171k most similar roles pay here $275k

This role pays more than 56% of similar roles. Most pay $184,613–$246,150 — the shaded band above. At the midpoint, this role pays about $224k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 177 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 177 roles with salary data.

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At a glance

TL;DR · Senior AI Platform Engineer

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As a Senior Software Engineer on Adobe's AI Foundations team, you will contribute to the development of core platform components that support AI experiences in Adobe Express. Your day-to-day responsibilities include building and improving backend services, microservices, and workflows for model integration, inference services, data pipelines, storage, caching systems, and analytics. You will work closely with engineers, researchers, and product teams to deliver production-ready AI capabilities while ensuring reliability, observability, and performance in runtime systems. The role requires proficiency in Python, TypeScript, C++, or Go, along with experience in distributed systems, cloud environments, and ML infrastructure. Familiarity with technologies like Kafka, Spark, Flink, and MLOps concepts is beneficial as you help scale the AI platform that powers creativity across design, imaging, motion, and personalization at Adobe.

Skills

Python Typescript Go C++ Kafka Spark Flink MLOps LLMs Docker CI/CD Prometheus Grafana AWS Azure Google Cloud

What you'll do

Develop core platform components supporting AI experiences in Adobe Express.
Build and enhance backend services for connecting models, APIs, data systems, and product features.
Create and refine data and inference pipelines for training, evaluation, fine-tuning, and deploying ML models.
Support runtime systems ensuring reliability, observability, and performance for AI platforms.
Improve storage, caching, and data-access patterns to enhance efficiency, scalability, and cost-effectiveness.

What we're looking for

3+ years of software engineering experience in backend infrastructure, ML systems, or related areas.
Solid understanding of distributed systems, scalable system design, and cloud environments.
Experience with APIs, data pipelines, event-driven systems, and MLOps concepts.
Proficiency in Python, Typescript, C++, or Go, and familiarity with Kafka, Spark, Flink.
Strong problem-solving skills and ability to work collaboratively in a cross-functional team.
Clear communication skills and willingness to learn from diverse technical partners.

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