Job Description

Job Summary We are seeking an experienced Enterprise Search & AI Solutions Architect to lead the design and implementation of intelligent enterprise-scale search solutions. This individual will drive architecture decisions for modern search experiences leveraging the Microsoft 365 ecosystem, Azure AI Search, and semantic AI technologies. You will play a pivotal role in defining the enterprise search strategy. Responsibilities Architect and lead the design of end-to-end search solutions across Microsoft 365, SharePoint, and Azure AI Search. Define and implement strategies for semantic search, vector indexing, and Retrieval-Augmented Generation (RAG) at scale. Collaborate with stakeholders to define enterprise content discovery and knowledge retrieval frameworks. Evaluate and integrate AI technologies such as embeddings, knowledge graphs, and LLM-powered search to enhance user experience. Architect integration patterns for BA Insight SmartHub, Upland, and connector ecosystems for both Microsoft and third-party data sources. Provide technical leadership and governance on search platform architecture, scalability, performance, and security. Guide engineering teams on implementation best practices using React, JavaScript, TypeScript, HTML, and Python. Design governance models for search index management, metadata enrichment, and AI document intelligence pipelines. Partner with product owners and enterprise architects to align solutions with broader digital workplace initiatives. Author and maintain architecture documentation, data flow diagrams, and technical decision records. Required Qualifications Deep expertise in the Microsoft 365 ecosystem, including Microsoft Search, SharePoint Search, and Graph API. Proven experience architecting solutions using Azure AI Search or similar semantic search engines (e.g., Elasticsearch with vector support, Vespa). Strong understanding of AI/ML concepts, including embeddings, vector databases, semantic ranking, and RAG pipelines. Demonstrated ability to lead cross-functional teams and influence architectural direction in a complex enterprise environment. Solid knowledge of enterprise content management, indexing strategies, and search relevance tuning. Preferred Qualifications Experience with Azure OpenAI, Azure AI Document Intelligence, and Cognitive Search enrichments. Prior implementation experience with BA Insight SmartHub and custom connectors. Hands-on knowledge of modern web technologies: React, TypeScript, JavaScript, HTML, CSS, and scripting in Python. Familiarity with metadata extraction, taxonomy design, and security trimming in search platforms. Understanding of enterprise authentication and authorization protocols (e.g., Entra ID, OAuth, SSO). Key Competencies Strategic and systems-level thinking with a solutions architecture mindset. Strong verbal and written communication skills, capable of translating technical concepts to business stakeholders. Ability to lead technical discovery workshops, produce architecture roadmaps, and mentor engineering teams. Passion for emerging technologies and staying ahead in AI-powered enterprise search. Certifications Required Certified Azure Solutions Architect (Microsoft Certified: Azure AI Engineer Associate). Salary and Other Compensation Applications will be accepted until June 23, 2025. The annual salary ranges from $112,000 to $132,000, depending on experience and qualifications. This position is eligible for Cognizant's discretionary annual incentive program, based on performance. Benefits : Cognizant offers: Medical, Dental, Vision, and Life Insurance Paid holidays and Paid Time Off 401(k) plan with contributions Long-term and Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: Salary, compensation, and benefits are accurate as of this posting and are subject to change. #J-18808-Ljbffr Cognizant North America

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