Enterprise AI AZURE Software Development Architect

Overview

The Azure AI Software Development Architect is responsible for designing, engineering, and operationalizing secure, scalable, and highly reliable software solutions on Microsoft Azure, with a strong emphasis on hands-on development and production readiness. This role bridges advanced software engineering with AI/ML and agentic AI systems, leveraging Azure OpenAI, Microsoft Semantic Kernel, and the Microsoft Agent Framework to build intelligent, goal-driven solutions.

The architect will use AI-assisted development tools and modern coding practices to accelerate delivery while maintaining high standards for code quality, security, and performance. Key initiatives include designing and implementing multi-agent systems, generative AI applications, LLM integrations, and RAG-based architectures that deliver real operational and business impact. A core focus of this role is contributing to and evolving the enterprise Agent Framework to enable the orchestration, governance, and deployment of specialized AI agents that automate and enhance IT operations in alignment with enterprise standards.

Approved Remote Locations: AL, FL, GA, , IN, KY, LA, MS, NC, OH, OK, OR, SC, SD, TN, TX, VA, WV, WY

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• Work closely with business and all IT teams, approve, and reconcile strategic architecture goals with the current state implementations.
• You will be responsible for driving architectural excellence across the Microsoft Azure ecosystem by defining and governing directives, principles, guidelines, and best practices for the organization to follow.
• You will also recommend iterative paths towards the adoption of strategic architecture goals.
• Hands-on technologist with significant experience in architecture and engineering of hybrid Microsoft infrastructure platforms and services, including development of Infrastructure as Code (IaC) best practices for an automation-first approach.
• Lead cultural change for cloud and automation adoption. Developing and coordinating cloud architecture with business, application, and engineering teams.
• Developing a cloud strategy and coordinating the adaptation processes. Assessing applications, software and hardware.
• Establish best practices for cloud across the company.
• Selecting cloud providers and vetting third-party services. Help develop Cloud Center of Excellence. Develop Fin Ops processes. Ability to think and operate at scale
• Design, build, and deploy specialized AI agents using Microsoft Semantic Kernel and the Microsoft Agent Framework to support intelligent automation across Azure environments
• Implement Retrieval-Augmented Generation (RAG) pipelines leveraging Azure AI Search to enable knowledge-aware, context-driven agent responses
• Architect scalable, secure, and resilient AI-enabled software solutions on Microsoft Azure, aligned with enterprise and cloud-native best practices
• Apply MLOps, LLMOps, and Dev Ops best practices, including CI/CD pipelines, monitoring, evaluation, and lifecycle management for AI and agent-based systems
• Implement agent routing systems with AI-driven classification and rule-based fallback strategies

Develop and consume Model Context Protocol (MCP) servers for standardized Azure resource access

Leverage AI coding assistants (Git Hub Copilot, Claude, Cursor,…