Job Description
Adobe stands out as a top player in customer intelligence. We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe and to leverage insights to help business deliver the most delightful customer experiences.

Our engineering team is responsible for uniquely poised to offer its services to build solutions to bring the delightful experience and intelligence in a far superior way which otherwise would not have been to manage and bring value to our customers. We help them make sense of that data, glean insights and run algorithms, so they can deliver delightful experiences in real-time, every time.

Building a robust fault tolerant and highly available system at very high scale while providing ease and convenience to disparate solutions and enterprise customer team is a key to our success. We use Big Data, Open source technologies and home grown solutions to develop various services for Adobe Solutions, Customers and Partners.





We support very large enterprise products to support their customers spread across geographies. This requires disparate data sources and ingestion mechanism. The data has to be made easily accessible at very low latency to support different scenarios and use cases. We are looking for dedicated individuals with extensive experience in developing low latency services at a significant level. The candidates would be leading our path to accomplish our vision.

What you will need to succeed
12 to 15 years of proven experience in technical program management, with a solid focus on advanced AI technologies and enterprise scale implementations
Solid technical literacy in software engineering, AI and ML systems and cloud infrastructure, with practical understanding of model deployment, scaling and integration into enterprise platforms.
Solid exposure to Generative AI and emerging agentic systems, including experience driving adoption of large language models, autonomou

📌 Engineering Program Manager 5 Noida
🏢 Adobe
📍 Noida