Enterprise AI Solutions Engineer

Maynard Nexsen is accelerating AI adoption across its practice groups and operational departments. This role is the firm's primary builder: designing and delivering custom AI agents, automated workflows, and integrated solutions that move the firm's AI investments from pilot to production at scale.

Responsibilities:

• Design, build, and deploy custom AI agents and agentic workflows using Azure AI Foundry, Copilot Studio, and the firm's approved AI platforms, including legal AI research, drafting, and workflow platforms
• Develop and maintain API-based integrations across the firm's AI and enterprise systems, including Microsoft 365, enterprise document management systems, legal practice management platforms, and third-party legal AI tools
• Configure and manage Model Context Protocol (MCP) server implementations that extend AI surfaces with firm-specific tools, data connections, and governed workflows
• Engage directly with practice group leaders, department heads, and administrative teams to surface high-value automation opportunities and translate requirements into technical solutions
• Own the AI solutions delivery roadmap in coordination with the CIO and AI Steering Committee, including intake, prioritization, timelines, and post-deployment support
• Enforce data governance controls at every integration point in accordance with firm security, compliance, and data residency requirements
• Maintain architecture documentation, API credential governance, and change control processes in line with the firm's security and compliance standards
• Evaluate new AI platforms and agent frameworks against firm security, ethical wall, and data residency requirements before recommending adoption
• Serve as the firm's internal subject matter expert on AI agent development patterns, emerging tooling, and enterprise deployment best practices

Requirements:

• Demonstrated experience building and deploying AI agents or agentic workflows in production environments
• Expert-level command of the Microsoft ecosystem: Azure AI Foundry, Copilot Studio, Power Platform, and Microsoft Graph API
• Strong proficiency with REST APIs, webhook-based integrations, OAuth, and API key governance
• Hands-on experience integrating with enterprise document management system APIs (legal DMS experience strongly preferred)
• Direct experience with at least one legal AI platform (legal AI research, drafting, or workflow platforms)
• Excellent written and verbal communication skills, with the ability to present technical solutions to attorneys and firm leadership without translation overhead
• Polished, professional presence appropriate for a client-facing role in a large law firm
• 5+ years in enterprise AI engineering, solutions architecture, or API development roles
• Bachelor's degree in computer science, AI, Computer Engineering, or related fields
• Background in legal technology, professional services, or a similarly compliance-sensitive enterprise environment
• Working knowledge of Model Context Protocol (MCP) server configuration and deployment
• Familiarity with ethical walls, conflict management systems, and matter-based security models
• Experience with large language model API integration and enterprise AI platform deployment
• Exposure to legal practice management or billing system APIs in an integration context