Search AI Solutions Architect

Search AI Solutions Architect

Requirements

• 10+ years of experience in designing and architecting enterprise-level search solutions.
• Deep understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP.
• Familiarity with emerging ecosystem technologies and how they interoperate like Hugging Face, Langchain, etc.
• Solid knowledge of ELSER’s architecture and other models within the Hugging Face ecosystem.
• Experience with vector databases and other emerging data storage solutions.
• Excellent communication and presentation skills, able to engage both technical and non-technical audiences.
• Collaborative spirit and a passion for sharing knowledge and expertise.
• Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends.

Responsibilities

• Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic’s latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies.
• Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data retrieval processes, leveraging the capabilities of the Elastic Learned Sparse Encoder.
• Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries.
• Deliver compelling proof-of-concept (POC) projects: Showcase the combined value of AI, semantic search, vector search, and ELSER through successful POCs, demonstrating the potential for improved search relevance, user experience, and decision-making.
• Become a thought leader and evangelize our vision: Share your expertise through presentations, blog posts, and other channels, positioning Elastic as the leader in AI-powered search and semantic data exploration.
• Foster collaboration and knowledge sharing: Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement.
• Stay ahead of the curve: Continuously learn and explore the ever-evolving landscapes of AI, semantic search, vector search, and related technologies, ensuring your solutions are always at the forefront of innovation.

Preferred Qualifications

No preferred qualifications provided.