Senior / Prompt Engineer (AI/ML), Brand Concierge
Adobe
At a glance
AI generatedAs a Senior Information Retrieval Engineer, you will join Adobe’s cutting-edge AI team to architect and deploy scalable retrieval pipelines for context-aware large language models. Your daily tasks include designing RAG systems using vector databases like FAISS or Weaviate, building ingestion pipelines for structured and unstructured data, and implementing document chunking strategies with embedding generation tools such as OpenAI or HuggingFace. You will also fine-tune relevance scoring algorithms, manage knowledge graphs, and collaborate with prompt engineers to enhance LLM reasoning capabilities. Essential skills include strong Python proficiency, experience with ML infrastructure, and familiarity with retrieval libraries like Haystack and LangChain. Ideal candidates have a background in IR/NLP and experience optimizing retrieval for enterprise-grade AI systems on cloud platforms.
Skills
What you'll do
What we're looking for
Market check
This $211,800–$306,625 range sits above 88% of similar postings on FindRole.
Peer median band
$168,000–$258,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,250–$246,150
Middle half of comparable postings.
Based on 239 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.
Most-posted roles
More like this
Adobe
Adobe
Adobe
Adobe
Cisco
Abbott