About the job
Exciting opportunity for a Principal Applied Scientist to architect next-generation knowledge-grounded AI systems at Adobe. Lead the development of hybrid neural-symbolic retrieval, multimodal embeddings, and agentic systems powering millions of users. Join us to shape the future of semantic search and recommendations in a high-impact, technical leadership role.
Responsibilities
Build and evolve large-scale knowledge-grounded systems that connect queries, entities, concepts, and multimodal signals into coherent semantic architectures.
Define evaluation frameworks for intent accuracy, entity grounding fidelity, graph coverage, and semantic relevance
Establish modeling and experimentation standards across teams
Drive principled system building rooted in measurable impact
Mentor senior scientists and craft cross-org technical direction
Qualifications
Minimum
PhD or equivalent experience (preferred) or MS in Computer Science, AI, ML, or related field
10+ years building and deploying large-scale AI/ML systems
Deep expertise in knowledge graphs, information retrieval, NLP/intent modeling, multimodal learning, or LLM/RAG systems
Proven track record delivering production-grade semantic platforms
Preferred
Experience designing ontologies or evolving domain taxonomies
Familiarity with graph embeddings, GNNs, or hybrid graph–LLM architectures
Experience with entity linking, semantic parsing, or large-scale indexing systems
History of cross-organizational technical influence