Job Description - Azure AI/M365 Copilot Search Architect
**Key Responsibilities**
- Design and implement enterprise GenAI search architectures leveraging Azure AI Search and Microsoft 365 Copilot search to deliver reliable, scalable, and intelligent discovery experiences across the organization.
- Architect retrieval-augmented generation (RAG) patterns and semantic search solutions, selecting appropriate vector search, hybrid ranking, and grounding strategies for enterprise knowledge bases.
- Analyze business requirements from diverse stakeholder groups and translate them into detailed search solution designs that balance relevance, latency, security, and cost.
- Configure and optimize indexing pipelines for structured and unstructured data, ensuring consistent ingestion, enrichment, skillset application, and normalization across multiple content repositories.
- Develop search relevance strategies including semantic ranking, vector embeddings, scoring profiles, synonym management, and domain-specific tuning to improve precision and recall for business-critical queries.
- Configure Microsoft 365 Copilot search connectors, semantic index integration, and Graph-based retrieval to surface organizational knowledge within Copilot experiences.
- Collaborate with application engineering teams to integrate search and GenAI capabilities into web portals, internal tools, and customer-facing applications using appropriate SDKs and APIs.
- Define and implement security and access models, ensuring search results respect data access policies, sensitivity labels, regulatory constraints, and privacy requirements.
- Lead client-facing architecture and consulting engagements, presenting solution designs, conducting technical workshops, and advising stakeholders on GenAI search strategy and roadmap.
- Monitor search system health by tracking relevance metrics, query latency, index freshness, and grounding quality, and recommend remediation to maintain high availability.
- Conduct capacity planning and performance testing for search and GenAI workloads, predicting growth patterns and optimizing resource utilization across cloud environments.
- Create detailed technical documentation for architectures, configurations, and runbooks, enabling operations teams to support and evolve search platforms efficiently.
- Provide guidance on migration strategies from legacy search platforms to Azure AI Search and Copilot-based solutions, minimizing disruption and ensuring continuity of critical services.
- Mentor junior engineers and architects on GenAI search technologies, design patterns, and best practices, fostering a culture of technical excellence and knowledge sharing.
**Required Skills**
- Hands-on expertise with Azure AI Search (index design, skillsets, semantic and vector search, scoring profiles).
- Hands-on experience with Microsoft 365 Copilot search, Graph connectors, and semantic index integration.
- Proven experience designing GenAI search solutions, including RAG architectures and embedding-based retrieval.
- Strong background in search architecture and solution design for enterprise environments.
- Demonstrated client-facing architecture and consulting engagement experience.
The Key Skills are Azure AI Search, Microsoft 365 Copilot Search
along with GenAI search solutions, Search Architecture , Solution Design, Client-facing architecture, and consulting engagements.
Tech Filter :
Skill/ Position title | Sub skills and details | Requirement | Level of hire | Location |
Azure AI/M365 Copilot Search Architect | Total exp | 5-10+ Years | M | PAN India |
Azure AI Search (Cognitive Search) | 3+ Years | |||
Microsoft 365 Copilot Search | 2+ years | |||
GenAI Search Solutions (RAG, Vector Search, Semantic Search, Hybrid Search) | 2+ year | |||
Search Architecture & Solution Design/Search Migrations | 4+ year | |||
Client-facing Architecture & Consulting Engagements | 3+ year | |||
Prompt Engineering & LLM Integration | 2+ year | |||
Azure Cloud Architecture (Functions, APIM, AKS, Container Apps) | 2+ year |
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
