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

Note: The job is a remote job and is open to candidates in USA. 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 Skills • 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 Benefits • Health, life, disability, and retirement plans • Paid time off • Opportunities for professional growth • Tuition assistance Company Overview • Established in 1980, MIL provides innovative cyber, engineering, financial, and information technology services to the federal government. It was founded in 1980, and is headquartered in Bowie, Maryland, USA, with a workforce of 501-1000 employees. Its website is