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Medium due to strong Adobe brand and metro location, offset by seniority and niche IR/ML specialization.
High because skills are niche to information retrieval, semantic search, and large-scale production ML systems.
High because the JD mandates 13+ years, Elasticsearch/ML/distributed-systems expertise, and architecture leadership.
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Lead architecture and technical strategy for hybrid search and AI assistant features across multiple Adobe Creativity & Productivity products.
Own design and scale of indexing, query processing, ranking, and recommendations including ML-based workflows for billions of digital assets in real time.
Act as primary technical authority coordinating with Product, Applied Research, and engineering teams to implement unified search and assistant solutions.
13+ years industry experience with ownership of large-scale production distributed systems architecture.
B.Tech or M.Tech in Computer Science, or equivalent experience.
Strong hands-on skills in Java and/or Python, stream processing frameworks (Kafka, Storm, Hadoop, Spark), Elasticsearch/Solr at scale, and AWS infrastructure.
Experience leading technical direction across products with different data structures and customer needs; semantic search or AI assistant experience strongly preferred.
Senior-level leader comfortable setting cross-product technical vision in search, AI assistants, and distributed systems.
Experienced working closely with Product and Applied Research/ML teams to bring early-stage research into production.
Practices routine use of AI coding agents and LLM-assisted workflows to accelerate development, testing, and documentation.