Senior Engineer, AI Foundations

Adobe • San Jose, CA

2d

About The Position

We’re looking for a Senior Engineer, AI Foundations to help define and scale the technical foundation for Adobe Express’s AI-powered featureset. This is a senior, architect-minded engineering role focused on building the shared services, platform capabilities, and engineering patterns that enable teams to create, deploy, and evolve AI-powered experiences with speed, quality, and confidence. As part of the AI Foundations team, you will work directly with AI technologies, LLM-powered capabilities, and generative AI systems, while building the infrastructure and backend services that make those capabilities production-ready across products and teams. This role goes beyond individual feature delivery; it is about creating the technical backbone for AI adoption at scale, including shared services, orchestration layers, developer workflows, and architectural standards. You’ll collaborate with engineers, researchers, designers, and product managers to turn emerging AI capabilities into reliable product systems. The ideal candidate combines strong full-stack experience with deep server-side expertise, sound architectural judgment, and a passion for helping organizations scale AI practices and technology thoughtfully and sustainably.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• Significant experience building and shipping production software in a product-focused environment, with a track record of owning complex initiatives end-to-end.
• Deep expertise in TypeScript / JavaScript and strong experience building modern web applications using technologies such as Web Components, React, ES6, TypeScript, Redux, or MobX.
• Strong experience designing and owning backend services using Node.js, Java, or similar technologies.
• Hands-on experience working directly with AI systems, including LLM APIs, generative AI capabilities, prompt engineering, context engineering, or AI-powered product workflows.
• Proven ability to architect and implement scalable, efficient systems in collaboration with large, cross-functional teams.
• Strong understanding of software architecture, design patterns, distributed systems, and production engineering tradeoffs.
• Experience in troubleshooting complex systems and using strong judgment to evaluate multiple technical solutions.
• Ability to thrive in fast-moving, ambiguous environments with high ownership and bias for action.
• Familiarity with modern engineering tools and workflows such as GitHub, VS Code or Cursor, Bazel, and AI-assisted coding tools.

Nice To Haves

• Experience building or scaling AI platforms, developer tooling, or shared infrastructure used by multiple product teams.
• Experience with distributed systems and real-time collaboration.
• Experience with multimedia, content platforms, photography, animation, visual effects, or creative tooling.
• Familiarity with functional programming, state management, and immutability.
• Knowledge of Web APIs, WebAssembly (WASM), and modern browser platform capabilities.
• Bonus: experience with Python or C++ in support of AI, performance, or platform engineering work.

Responsibilities

• Architect and build the AI foundations platform that enables teams to integrate AI, LLMs, and generative capabilities into product experiences at scale.
• Design and develop shared backend services, APIs, orchestration layers, and platform components that support AI-powered workflows across multiple teams and applications.
• Work directly with AI/LLM technologies to support intelligent content workflows, generation pipelines, moderation and curation systems, and productivity enhancing product experiences.
• Build robust server-side systems using Node.js, Java, or similar technologies, with a strong focus on scalability, reliability, performance, and maintainability.
• Define and scale engineering best practices for AI development, including service design, evaluation workflows, observability, operational readiness, and production quality standards.
• Develop systems that support distributed architectures, real-time collaboration, and multimedia-rich experiences, especially where AI capabilities are deeply embedded in customer-facing workflows.
• Partner across teams to increase adoption of AI platform capabilities, reusable abstractions, and engineering standards that accelerate delivery and improve consistency.
• Own projects end-to-end — from design and prototyping through implementation, testing, delivery, monitoring, and continuous improvement.
• Contribute to engineering excellence through design reviews, code reviews, pair programming, and mentorship, helping raise the bar for software quality and AI-ready architecture across the organization.

Benefits

• At Adobe, you will be immersed in an exceptional work environment that is recognized around the world.
• You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
• If you’re looking to make an impact, Adobe's the place for you.
• Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees