Define the overall Coveo search architecture based on business, functional, security, scalability, and performance requirements.
Design enterprise search solutions covering: Coveo organizations and environments Sources and connectors Indexing strategy Metadata and field strategy Search APIs Query pipelines Search interfaces Machine Learning Usage Analytics Define architecture patterns for multi-site, multi-brand, multi-language, and multi-region implementations. Conduct architecture reviews and provide technical governance to development teams.
Content Ingestion & Indexing
Architect content ingestion from multiple enterprise repositories.
Configure and optimize Coveo sources, connectors, crawling, indexing, metadata mapping, and content enrichment. Design incremental/full indexing strategies. Define searchable, sortable, facetable, and ranking fields. Handle large-volume indexing and troubleshoot indexing/crawling issues. Design content filtering and source-specific indexing strategies.
Search Relevance & Query Pipelines
Design and configure Coveo Query Pipelines.
Implement: Ranking rules Query Ranking Expressions (QRE) Featured results Filters Facets Thesaurus/synonyms Query transformations Context-based ranking Continuously improve search relevance using analytics and business feedback. Balance relevance configuration with search performance.
Coveo Machine Learning & Personalization
Design and configure Coveo Machine Learning capabilities such as: Automatic Relevance Tuning Query Suggestions Recommendations Personalized search experiences Use user context, behavioral signals, and analytics to improve relevance. Define approaches for AI-driven search and generative search experiences where applicable.
Coveo Headless / Atomic Development
Provide architecture and technical guidance for search UI implementations using: Coveo Headless Coveo Atomic
Coveo Search APIs
Integrate Coveo with React, Next.js, Angular or other up-to-date JavaScript frameworks.Role & responsibilities