Senior AI Platform Engineer

The Opportunity

Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large‑scale platforms that support modern AI products.

• 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.

• 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
• Good understanding of distributed systems fundamentals, backend services, and scalable system design.
• Experience building or supporting APIs, data pipelines, or event‑driven systems.
• Proficiency in Python, Typescript, C++, or Go.
• Familiarity with cloud environments, service deployment, and production engineering practices.
• Exposure to ML systems or LLM‑based applications, including model inference, orchestration, or evaluation, is a plus.
• Strong problem‑solving skills and the ability to work well in a collaborative team environment.
• Clear communication skills and willingness to learn from cross‑functional partners.

• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
• Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
• Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
• Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
• Interest in agentic AI concepts such as tool use, task planning, or memory systems.

Pay range: U.S. $151,800 – $265,350 annually (California $183,300 – $265,350; Washington $165,600 – $239,725). May vary by location and experience.

State‑Specific Notices:
Fair Chance Ordinances – Adobe will consider qualified applicants with arrest or conviction records in accordance with state and local laws.

Adobe is an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.