Data Engineer

• Design, build, and maintain AI-enabled software capabilities, including MCP servers, agent-facing tools, and enterprise application integrations
• Develop robust APIs, backend services, and integration layers using Python and modern service patterns
• Implement MCP tools and server-side capabilities that expose business functions, data access, and automation workflows to AI agents
• Build and maintain CI/CD pipelines in Azure DevOps or similar platforms
• Develop and deploy cloud-ready services using Azure-based patterns and containerized workloads
• Partner with product owners, software engineers, data engineers, security teams, and business stakeholders
• Document APIs, MCP tools, deployment patterns, runbooks, and engineering standards
• Lead moderate-sized technical efforts, contribute to architecture decisions, improve engineering standards, and deliver secure, scalable solutions

Explore Software Engineer – AI Integration, Data Platforms at AT&T. Review requirements and application details.