Enterprise AI Solutions Engineer
Remote · United States
Job Summary
Design, build, and deploy AI agents and agentic workflows using Azure AI Foundry, Copilot Studio, and the firm’s approved AI platforms; develop and maintain API-based integrations across Microsoft 365, enterprise document management systems, legal practice management platforms, and third-party legal AI tools; enforce data governance and security controls at integration points; own the AI solutions delivery roadmap in coordination with the CIO and AI Steering Committee; serve as the firm’s internal subject matter expert on AI deployment patterns and best practices; required hands-on experience with production AI agent solutions and strong communication with non-technical stakeholders; remote work environment with extended hours as needed.
Required Qualifications
- 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
- Demonstrated experience building and deploying AI agents or agentic workflows in production environments
- 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
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