Artificial Intelligence Engineer

Role Overview

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.

Key Responsibilities

• Design, develop, and maintain ASP.NET MVC web applications and modules with AI-driven functionality and integrations.
• Build and support standalone worker processes on the Microsoft technology stack using traditional automation and artificial intelligence methods.
• 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.
• Develop, deploy, and maintain AI agents and MCP-based solutions for business workflows.
• Maintain and expand on-premises AI Graphics Processing Unit (GPU) infrastructure supporting local large language model (LLM) inference through Ollama.
• Evaluate and implement emerging AI-assisted development technologies and platforms.
• Establish and maintain evaluation pipelines for production artificial intelligence applications.
• Participate in code reviews, coding standards development, technical discussions, and knowledge-sharing activities.
• Collaborate with users and cross-functional teams to troubleshoot application, integration, and AI inference issues.
• Work with software vendors, consultants, systems integrators, and other external partners as needed.
• Provide regular project status updates to leadership and project teams.

Core Qualifications & Requirements

• 3+ years of relevant software development or AI engineering experience.
• Hands-on experience with C#/.NET, ASP.NET MVC, JavaScript, TypeScript, Python, jQuery, or another modern JavaScript framework.
• Experience with XML, Transact-SQL (T-SQL), and SQL Server Reporting Services (SSRS).
• 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.
• Experience using OpenAI APIs and developing AI-powered applications.
• Experience designing and implementing evaluation pipelines for production AI applications.
• Experience with AI-assisted coding tools, including Codex, Claude Code, or Open Code.
• Experience developing and deploying custom Model Context Protocol (MCP) servers with Microsoft Entra ID integration.
• Knowledge of authentication flows, authorization policies, token validation, and secure service-to-service communication.
• Experience using Skills and building AI agents.
• Experience with Microsoft Azure.
• 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.

Nice-to-Have Qualifications

• Experience working in the legal industry.
• Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, or Workday.

Core Technical Skills

• Programming: C#, .NET, ASP.NET MVC, JavaScript, TypeScript, Python, jQuery, modern JavaScript frameworks
• Data & Reporting: XML, T-SQL, SQL Server, SSRS
• AI & LLM Platforms: OpenAI APIs, Ollama, vLLM, LM Studio, local model inference, LLM evaluation, model benchmarking, quantization, context window optimization
• Agentic Development: AI agents, Skills, MCP servers, agent frameworks, AGENTS.md, CLAUDE.md, Codex, Claude Code, Open Code
• Cloud & Security: Microsoft Azure, Microsoft Entra ID, authentication, authorization, token validation, secure service-to-service communication