Req ID: 359133
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Search Engineer to join our team in Remote, Texas (US-TX), United States (US).
Job Duties: 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.
Azure AI Search Solution Engineering
Design and implement search solutions using Azure AI Search, including indexing strategies, schema design, and query patterns for relevance and performance. [learn.microsoft.com]
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.
Python Services & APIs
Develop backend services in Python (e.g., FastAPI/Flask) for search query orchestration, indexing automation, and integration with upstream/downstream systems. (Python API framework expectations align with internal role language.)
Implement robust error handling, retries, telemetry, and API contract documentation.
Security, Authentication & Access Control
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.
Cloud Engineering & Deployment (Docker/Kubernetes)
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).
Reliability, Monitoring & Operational Excellence
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.
Minimum Skills Required:
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.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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