Artificial Intelligence Engineer

This role owns the development of AI-enabled business applications, autonomous worker processes, agentic workflows, and local model inference capabilities. Reporting to the AI Business Systems leadership team, the AI Engineer / Architect will help establish scalable development standards, evaluate emerging AI technologies, and deliver secure solutions that improve internal business operations., n \n

• Design, develop, and maintain ASP.NET MVC web applications and modules with AI-driven functionality and integrations. \n

• Build and support standalone worker processes on the Microsoft technology stack using traditional automation and artificial intelligence methods. \n

• Define and standardize agentic development practices, including Skills, Model Context Protocol (MCP) servers, frameworks, and agent configuration files such as AGENTS.md and CLAUDE.md. \n

• Develop, deploy, and maintain AI agents and MCP-based solutions for business workflows. \n

• Maintain and expand on-premises AI Graphics Processing Unit (GPU) infrastructure supporting local large language model (LLM) inference through Ollama. \n

• Evaluate and implement emerging AI-assisted development technologies and platforms. \n

• Establish and maintain evaluation pipelines for production artificial intelligence applications. \n

• Participate in code reviews, coding standards development, technical discussions, and knowledge-sharing activities. \n

• Collaborate with users and cross-functional teams to troubleshoot application, integration, and AI inference issues. \n

• Work with software vendors, consultants, systems integrators, and other external partners as needed. \n

• Provide regular project status updates to leadership and project teams. \n

• 3+ years of relevant software development or AI engineering experience. \n

• Hands-on experience with C#/.NET, ASP.NET MVC, JavaScript, TypeScript, Python, jQuery, or another modern JavaScript framework. \n

• Experience with XML, Transact-SQL (T-SQL), and SQL Server Reporting Services (SSRS). \n

• Experience with local model inference platforms such as Ollama, vLLM, or LM Studio, including parameter tuning, context window optimization, quantization selection, performance benchmarking, and inference workload troubleshooting. \n

• Experience using OpenAI APIs and developing AI-powered applications. \n

• Experience designing and implementing evaluation pipelines for production AI applications. \n

• Experience with AI-assisted coding tools, including Codex, Claude Code, or Open Code. \n

• Experience developing and deploying custom Model Context Protocol (MCP) servers with Microsoft Entra ID integration. \n

• Knowledge of authentication flows, authorization policies, token validation, and secure service-to-service communication. \n

• Experience using Skills and building AI agents. \n

• Experience with Microsoft Azure. \n

• Bachelor’s degree in Computer Science or a related field from an accredited college program; or a degree in another field supplemented by additional professional experience and/or non-degree coursework in computer systems. \n, * Experience working in the legal industry. \n

• Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, or Workday. \n

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Core Technical Skills

• Programming: C#, .NET, ASP.NET MVC, JavaScript, TypeScript, Python, jQuery, modern JavaScript frameworks \n

• Data & Reporting: XML, T-SQL, SQL Server, SSRS \n

• AI & LLM Platforms: OpenAI APIs, Ollama, vLLM, LM Studio, local model inference, LLM evaluation, model benchmarking, quantization, context window optimization \n

• Agentic Development: AI agents, Skills, MCP servers, agent frameworks, AGENTS.md, CLAUDE.md, Codex, Claude Code, Open Code \n

• Cloud & Security: Microsoft Azure, Microsoft Entra ID, authentication, authorization, token validation, secure service-to-service communication \n

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