AI and Azure Cloud Engineer (Software Engineering, Senior Associate)

The MIL Corporation is seeking a highly motivated AI and Azure Cloud Engineer to drive the migration of on-premises development and full SDLC environments to an Azure cloud environment for a federal agency. The ideal candidate will spearhead an initiative that aims to modernize legacy applications, act as a strategic technical advisor, and integrate AI/LLM solutions to optimize cloud workflows.

Responsibilities:

• Lead the migration of legacy applications and on-premise SDLC environments to Azure-based cloud applications
• Architect, provision, and manage cloud resources across all project phases (Testing, Development, Production, etc.)
• Develop and manage accurate cost estimates for cloud infrastructure, resources, and services
• Act as the primary technical advisor for the planning, architecture, and execution of cloud and AI projects
• Solution and implement AI and Large Language Models (LLMs) to make cloud processes, projects, and development workflows more effective and efficient
• Monitor, manage, and optimize Azure cloud environments and AI API services

Requirements:

• Minimum of 10 years of overall applicable professional experience
• Minimum of 6 years of technical experience working directly with similar cloud systems, environments, and migrations
• Proven expertise in moving legacy applications to Azure-based cloud infrastructure
• Demonstrated ability to set up cloud resources and calculate detailed cost estimates for multi-phase cloud projects
• Applied experience utilizing Large Language Models (LLMs) and artificial intelligence to improve technical processes and business solutions
• Strong capability to act as a technical leader and advisor to stakeholders
• BA/BS degree in Information Technology, Computer Science, or other relevant technical/business field
• Ability to obtain a Top Secret Clearance
• US Citizenship: Required
• Experience with Palantir Foundry (Highly preferred)
• Knowledge of Azure Data Lake and Databricks
• Python experience
• Experience fine-tuning or training custom ML/language models