Architect and develop AI-first agentic discovery leveraging multimodal language and vision models, transformers, semantic conversational search, and RAG
Design and implement scalable, fault-tolerant multi-modal and multi-lingual agentic search and recommendation systems
Build intelligent conversational workflows that understand creative intent and context
Architect real-time indexing infrastructure capable of handling billions of images, documents, videos, and creative assets
Develop high-performance REST services and APIs for seamless integration across Adobe's product ecosystem
Leverage advanced AI technologies including LLMs, transformers, and neural networks to power search and recommendation engines
Implement sophisticated ranking algorithms and relevance models for creative content discovery
Optimize search quality across multiple languages and content modalities with AB Experimentation and User Behavior analysis
Lead technical initiatives and mentor engineering teams
Requirements
Degree in Computer Science, Machine Learning, or a related field or equivalent experience
8+ years of software engineering experience with proven track record in large-scale distributed systems
Deep expertise in search technologies: Elasticsearch, Lucene, information retrieval algorithms
Strong background in machine learning, particularly in NLP, computer vision, or recommendation systems
Expertise in vector databases, semantic search
Proficiency in Java, Python, and modern software development frameworks
Experience with cloud platforms, microservices architecture, and high-availability systems
Demonstrated ability to lead technical initiatives and mentor engineering teams
Preferred: Experience in developing conversational search workflows in creative domain
Preferred: 5 years of experience in a technical leadership role leading project teams and setting technical direction
Preferred: 3 years of experience working in a complex, matrixed organization