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NTT DATA Logo NTT DATA · IT - Software Development

AI Search Engineer

United States, Remote · Job Posted April 16, 2026
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Job Description

We are seeking an AI Search Engineer to design, build, and operate production-grade search experiences powered by Azure AI Search. You will develop Python-based indexing and query services, implement vector/semantic and hybrid search patterns, and deploy secure, scalable workloads on Azure using Docker/Kubernetes. This role requires strong cloud engineering fundamentals, secure authentication/authorization practices, and disciplined deployment and operational excellence.

Job Responsibility

  • Design and implement search solutions using Azure AI Search, including indexing strategies, schema design, and query patterns for relevance and performance
  • Build vector search and hybrid search capabilities (vector + keyword) to support semantic retrieval use cases
  • Implement ingestion and indexing pipelines (batch and/or streaming) to keep search indexes current and reliable
  • Develop backend services in Python (e.g., FastAPI/Flask) for search query orchestration, indexing automation, and integration with upstream/downstream systems
  • Implement robust error handling, retries, telemetry, and API contract documentation
  • Implement Microsoft Entra ID-based authentication and Azure RBAC for Azure AI Search access (preferred over key-based auth), including assignment of appropriate built-in roles for administration, indexing, and querying
  • Design access patterns for user- or application-scoped retrieval, including least-privilege access and secure token-based calls to the data plane
  • Containerize services using Docker and deploy/operate them on Kubernetes (e.g., AKS), including configuration, scaling, and environment promotion practices
  • Implement deployment best practices (CI/CD, automated testing gates, environment configuration, secrets handling, rollbacks)
  • Establish observability (logs/metrics/traces), alerting, and runbooks for production support
  • Diagnose and resolve performance bottlenecks across indexing, query latency, and service throughput
  • Participate in incident response and continuous improvement of platform stability

Requirements

  • 5+ years of software engineering experience, including production services on cloud platforms
  • 2+ years of hands-on experience with Azure AI (Cognitive) Search (index design, ingestion/indexing, query APIs)
  • 5+ years of Strong Python development experience for backend services and automation
  • 3+ years of experience with Docker and Kubernetes for deploying and operating services
  • 2+ years authentication/authorization, including Entra ID patterns and RBAC for data-plane operations
  • 3+ years of experience applying deployment best practices: CI/CD, automated testing, configuration management, and secure secrets handling
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