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Senior Agentic AI Engineer
Adobe
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About this role
The Opportunity
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.
The Team
Our team includes dedicated engineers from a diverse group of backgrounds who are encouraged to bring their experience, ideas, and creativity to produce the best possible outcomes. The highly dynamic environment allows us to grow while we add new value and deliver impactful results. As a member of the team, you will interact with others who are genuine and want you to succeed. Your talent, experience, and voice are valued and will make a difference.
What you'll Do
• 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.
What you need to succeed
Technical Skills (Must Have)
• 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.
Technical Skills (Nice to Have)
• 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.
Technical Leadership
• 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.
About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be 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.
Adobe aims to make our Careers we
Salary insight
The midpoint of this range ($224k) is about 12% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 7,794 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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