Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
Adobe
At a glance
AI generatedAs a Senior Information Retrieval Engineer at Adobe, you will lead the development of robust retrieval systems that enhance large language models with context-aware information. Your day-to-day responsibilities include designing scalable RAG pipelines using vector databases like FAISS and Weaviate, building ingestion pipelines for structured and unstructured data, and optimizing relevance scoring algorithms to improve precision and recall. You will also create knowledge graphs to support disambiguation and manage data freshness, while collaborating with prompt engineers to align retrieval outputs with model behavior. The role requires strong Python skills, experience with retrieval libraries such as Haystack and LangChain, and familiarity with cloud platforms like Airflow and Docker. Ideal candidates have a background in information retrieval or search engineering and are passionate about enhancing AI systems for enterprise applications.
Skills
What you'll do
What we're looking for
Market check
This $161,700–$234,150 range sits above 62% of similar postings on FindRole.
Peer median band
$132,300–$218,238
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$135,850–$224,325
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has 290 open roles on FindRole.
Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.
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