Azure Data Platform & AI Integration Engineer

Ampcus Inc

New York (NY)

On-site

USD 140,000 - 190,000

Full time

41 hours ago
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Job summary

Ampcus Inc. is seeking an Integration & Data Platform Engineer to design, configure, and support cloud data, messaging, API, and AI integration services required for digital platforms within the environment.

The role will enable secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement, and OpenAI integration validation across cloud-native and enterprise application services.

Qualifications

  • Requires 7-12 years in data platform, integration engineering, or cloud engineering.
  • 4 years hands-on Azure data, integration, or messaging services experience.
  • Experience with AI-enabled applications, enterprise integrations, APIs, and cloud-native data platforms.
  • Strong analytical troubleshooting, documentation, and stakeholder coordination.

Responsibilities

  • Deploy and support data platform components including PostgreSQL, Azure SQL, Redis, and storage services.
  • Configure Azure Data Factory pipelines, service bus, event hub, and API integrations for secure data flows.
  • Validate Azure AI Search and Azure OpenAI integration, including data ingestion and monitoring readiness.
  • Document data flows, dependencies, API touchpoints, runbooks, and troubleshooting steps.

Skills

PostgreSQL
Azure SQL
Redis Cache
Storage Accounts
Blob Storage
Data Platform Admin
Azure Data Factory
Service Bus
Event Hub
APIs
Event-driven Architecture
Azure AI Search
Azure OpenAI
REST APIs
Monitoring & Logging

Tools

Azure Data Factory
Service Bus
Event Hub
Azure OpenAI
Azure AI Search
Private Endpoints

Job description

Ampcus Inc. is seeking an Integration & Data Platform Engineer to design, configure, and support cloud data, messaging, API, and AI integration services required for digital platforms within the environment.

The role will enable secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement, and OpenAI integration validation across cloud-native and enterprise application services.

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