Senior AI Platform Engineer - Scalable ML Infrastructure

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

Job summary

Adobe Express AI Foundations team is seeking an engineer to help develop and scale AI infrastructure behind experiences like Agentic AI, Create AI, Imaging AI, Motion AI and Personalization AI. You'll work on model integration, inference services, data pipelines, storage and caching, analytics and evaluation tooling.

This role requires strong software engineering fundamentals, ML systems experience, and a passion for building reliable, scalable platforms that empower AI-powered creative tools.

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.
• Hands-on experience with imaging models.
• Experience building or supporting APIs, data pipelines or event-driven systems.
• 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.
• Strong problem-solving and collaborative skills; clear communication.

Responsibilities

• Contribute to the development of core platform components that support AI experiences in Adobe Express.
• Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
• Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
• Support runtime systems for inference and orchestration with attention to 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

Python

TypeScript

C++

Go

Distributed systems

ML infrastructure

Education

Bachelor's degree

Computer Science

Machine Learning

Data Science

Equivalent experience

Tools

Kafka

Spark

Flink

Job description

Adobe Express AI Foundations team is seeking an engineer to help develop and scale AI infrastructure behind experiences like Agentic AI, Create AI, Imaging AI, Motion AI and Personalization AI. You'll work on model integration, inference services, data pipelines, storage and caching, analytics and evaluation tooling.

This role requires strong software engineering fundamentals, ML systems experience, and a passion for building reliable, scalable platforms that empower AI-powered creative tools.