Solutions Architect

Fort Point

Boston, MA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.wayup.com

Tech stack

Contentful Java (Programming Language) A/B Testing Artificial Intelligence Amazon Web Services Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing DevOps Elasticsearch Python (Programming Language) Machine Learning

+17 more

Node.Js Performance Tuning Salesforce.Com Search Technologies Software Engineering Apache Solr Data Streaming Web Application Frameworks Google Cloud ReactJS IT Architecture Indexer Kubernetes Information Technology Search Engines Restful APIs Docker

Requirements

Bachelor’s Degree
Hybrid- 3 days in office
No sponsorship opportunity: Candidates must be legally authorized to work in the U.S. without current or future sponsorship The Search Solution Architect serves as the primary technical expert for the Coveo platform, managing its integration across the Airgas CX ecosystem. This critical role involves designing and implementing search, recommendations, and personalization strategies, which includes ensuring seamless connectivity with platforms like Salesforce and Contentful CMS. The ideal candidate must be highly skilled in search engine relevancy tuning, AI/ML models, REST APIs, and composable front-end technologies like React.js and CSS in a B2B eCommerce environment.
Define and maintain integration patterns for Coveo with other CX platforms (e.g., Salesforce, Contentful) to ensure unified data flow and a consistent user experience.
Provide architectural governance for Coveo integrations within the Airgas composable Experience Layer.
Oversee Coveo configuration and optimization, including search components, indexing, field mapping, and source management.
Design and govern the customization of relevance tuning and machine learning models, specifically utilizing Query Ranking Expressions (QRE) and Automatic Relevance Tuning.
Design A/B testing and user behavior analysis, and develop reports for search and content analytics to provide actionable insights to stakeholders.
Experience: 5+ years in software engineering or IT architecture, with 3+ years focused specifically on Coveo.
Technical Stack: Strong background in Java, Python, or Node.js.
Cloud & DevOps: Knowledge of cloud platforms (AWS, Azure, GCP) and containers (Kubernetes, Docker).
Alternative Search: Familiarity with tools like Elasticsearch or Apache Solr is of relevant value., + Bachelor’s degree in Computer Science, Management Information Systems or other relevant area.
3+ years of hands-on experience with Coveo (Coveo Cloud, Coveo for Salesforce, or similar) and search technologies.
Proven experience in eCommerce search and recommendations, specifically within a B2B environment. Preferred Qualifications:
Highly preferred professional certification in front-end framework