Senior Agentic AI Engineer
About The Position
Join our world-class team in San Jose, CA, where your engineering skills will flourish! In this role, you’ll help shape the future of Adobe’s next-generation agentic AI strategy by building the agentic harness platform that powers Adobe’s agentic products and workflows. You’ll take on meaningful challenges that define how teams evaluate, orchestrate, secure, and scale AI agents across Adobe, while collaborating with talented teammates to create technology that will meaningfully impact millions of users. You’ll work hands-on with modern AI innovations, apply industry-leading engineering practices, and contribute to platform capabilities that help developers build reliable, production-ready agentic experiences.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, or related technical field.
- Proven industry experience building intelligent platforms, agentic systems, or developer-facing infrastructure for agent evaluation, orchestration, memory, tool execution, monitoring, and workflow automation.
- Proficiency in TypeScript and Python, along with familiarity with their surrounding tooling ecosystems.
- Experience designing scalable platform APIs and integrations that enable product teams to build and operate agentic applications safely and efficiently.
- Hands-on experience with Anthropic APIs and Claude model capabilities, including model selection, tool use, structured outputs, prompt caching, extended thinking, and appropriate Claude operating modes for agentic workflows.
- Strong understanding of agentic harness concepts, such as task planning, tool routing, guardrails, evaluation loops, workflow execution, traceability, and production observability.
- Strong system design abilities with a clear understanding of architectural tradeoffs.
- Demonstrated ownership of end-to-end engineering solutions.
- Excellent verbal and written communication skills.
- Understanding what makes a healthy developer community, including open development practices, mentoring, and collaborative learning.
- Ability to work effectively with a geographically distributed team.
Nice To Haves
- Familiarity with current generative AI model families and platforms, including GPT models and multimodal or image-generation models such as Google Nano Banana, with an understanding of their strengths, limitations, and practical application patterns.
- Understanding semantic retrieval concepts and hands-on experience implementing semantic search or RAG-style retrieval systems.
- Working knowledge of widely used frameworks such as Node.js, React, or similar technologies.
- Experience with Kubernetes and modern deployment strategies.
- Knowledge of major cloud platforms such as AWS or Azure.
- Strong understanding of software development practices (source control, CI/CD, containerization, automated testing, code reviews).
- Knowledge of relational database systems and Redis cache.
- Solid understanding of the full software development lifecycle.
Responsibilities
- Build the agentic harness platform that enables Adobe teams to create, evaluate, orchestrate, and operate agentic products and workflows at scale.
- Apply your knowledge of AI agents, model APIs, MCP servers/tools, skills, semantic retrieval, evaluations, safety, security standards, and observability to deliver reliable platform capabilities.
- Collaborate with multi-functional teams to build and deliver innovative solutions.
- Enable Adobe product teams and developers with reusable platform services, patterns, and guidance for building production-ready agentic applications.
- Take initiative to solve complex problems.
- Contribute to a culture of continuous learning and improvement.
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
