Senior Agentic AI Engineer

The Opportunity Adobe is one of the world’s most innovative software companies, empowering billions of people to create and deliver exceptional digital experiences. Our products help creators, businesses, and organizations collaborate, grow, and build remarkable customer journeys. In 2026, we’re focused on building AI‑native platforms—where agents, large language models, recommendation engines, and humans work together in real time at global scale. Join our engineering team developing next‑generation Agentic AI and recommendation systems that redefine how customers discover, engage with, and personalize experiences across Adobe products! What you'll do Contribute to building AI-native systems where agents, LLMs, and recommendation engines collaborate to deliver personalized digital experiences on a global scale. Design and implement agentic AI systems that combine LLM reasoning, tools, structured data, and multi-agent orchestration (A2A, MCP) to deliver adaptive customer experiences. Create and contribute to engineering designs and architectures that address real product and platform challenges at the Adobe scale. Prototype rapidly, run PoCs, experiment with emerging AI capabilities, and iterate based on measurable impact. Implement evaluation, monitoring, and Responsible AI guardrails to ensure reliability, fairness, and production readiness. What you need to succeed 7+ years of experience building and operating scalable distributed systems in production environments. Bachelor's degree in computer science or related field (or equivalent practical experience). Strong proficiency in Python and experience building high-availability services. Solid foundation in distributed systems, scalable architectures, and data modeling. Experience with LLM APIs (OpenAI, Anthropic, LiteLLM), including streaming, tool calling, and structured outputs. Experience with multi-agent orchestration frameworks (LangGraph, CrewAI, Agno, or similar) and protocols such as A2A and MCP. Experience with RAG architectures, vector databases, and semantic retrieval systems. Experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP/Azure). Experience with distributed data platforms (Kafka, Airflow, Snowflake, SingleStore, or similar). Understanding evaluation of metrics (NDCG, MAP, precision/recall) and online A/B testing frameworks. Strong understanding of ranking strategies, experimentation methodologies, and relevance optimization. Knowledge of JavaScript or Java is a plus. 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 mo ... (truncated, view full listing at source)