Senior AI Platform Engineer: Scalable ML Infra

Adobe; Seattle (WA); On-site; USD 166,000 - 240,000; Full time

Job summary

Adobe Express and its AI Foundations team are seeking an engineer to develop and scale the AI infrastructure behind creativity experiences. The role requires strong software engineering fundamentals, ML systems experience, and a drive to build reliable, large-scale AI platforms that support modern products.

You’ll collaborate with engineers, researchers, and product teams to deliver production‑ready AI capabilities across model integration, inference services, data pipelines, storage and

Qualifications

• 5+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
• Strong understanding of distributed systems fundamentals and scalable design.
• Experience with APIs, data pipelines, or event-driven systems.
• Exposure to imaging models is a plus.
• Proficiency in Python, TypeScript, C++, or Go.
• Familiarity with cloud environments and production engineering practices.
• Exposure to ML systems or LLM-based applications is a plus.

Responsibilities

• Develop core platform components that support AI experiences in Adobe Express.
• Build backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
• Develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
• Support runtime systems for inference and orchestration with reliability, observability, and performance.
• Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
• Collaborate with engineers, researchers, and product teams to deliver production‑ready AI capabilities.
• Participate in debugging, testing, monitoring, and operational improvements for AI platform services.

Skills

Distributed systems fundamentals

Backend services

Data pipelines

ML infrastructure

Python

Typescript

C++

Go

Cloud environments

Model inference

LLMs

Collaboration

Communication

Education

Bachelor’s degree or equivalent in CS/ML/Data Science

Tools

Kafka

Spark

Flink

Job description

Adobe Express and its AI Foundations team are seeking an engineer to develop and scale the AI infrastructure behind creativity experiences. The role requires strong software engineering fundamentals, ML systems experience, and a drive to build reliable, large-scale AI platforms that support modern products.

You’ll collaborate with engineers, researchers, and product teams to deliver production‑ready AI capabilities across model integration, inference services, data pipelines, storage and