Senior Applied AI Engineer
Core
Designing, developing, and maintaining enterprise-wide AI and software systems within the Azure ecosystem to support business operations and client requirements.
Role type
Senior Applied AI Engineer (Secondary Leadership)
Builds
Enterprise application infrastructure, AI solutions, and software development lifecycles
Domain
Enterprise IT, Cloud (Azure), Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C#/.NET, Azure AI ecosystem, AI solution deployment, SDLC standards, NOC operations, performance analysis, budget management
Preferred skills
Generative AI with LLMs, AI agent frameworks (Semantic Kernel, LangChain, Autogen), COTS ERP support, Project Management, Windows Server/IIS/SharePoint/SQL Server
Technologies
Azure AI Foundry, MS Copilot, Semantic Kernel, LangChain, Autogen, COTS ERP, Windows Server, IIS, SharePoint, SQL Server
Responsibilities
Conceive and oversee enterprise-wide systems development; Research and recommend software products; Maintain global enterprise application infrastructure; Meet with clients to determine requirements and document specifications; Execute NOC operations including monitoring and troubleshooting; Analyze performance data for optimal application usage; Assist in managing application development team budgets
Seniority
Senior, secondary leadership with backup responsibilities
