About The Role

Key Responsibilities

Administer and support enterprise AI platforms (Copilot, Claude, firm-built Azure-hosted AI) — availability, performance, policy compliance
Work with APIs, connectors, and automation tools to enable secure, approved data access for AI systems while preserving ethical walls, matter confidentiality, and firm governance requirements
Coordinate with vendors on platform updates, feature enablement, and operational troubleshooting
Maintain documentation covering AI platform configuration, access procedures, integrations, and operational standards
Support integrations between AI platforms and firm systems — document management, knowledge repositories, collaboration tools, other approved enterprise apps
Monitor AI platform usage, performance, and cost; assist with cost tracking, reporting, and allocation across departments/practice groups
Manage access controls, permissions, and usage policies for AI platforms, in coordination with Information
Security, Risk & Conflicts, and Identity teams
Implement role-based access control, audit logging, and data protection controls
Configure environments, resource groups, and service integrations supporting AI workloads
Analyze usage metrics and performance data to recommend optimizations
Provide Tier 2/3 support, troubleshooting incidents for AI solutions
Manage updates, patches, and version upgrades for AI platforms; coordinate with vendors and internal teams on complex issues
Provide periodic status updates and project reports to management; occasional after-hours support required

Requirements

Must-Have

Bachelor's degree in Information Systems, Computer Science, or related field (or equivalent experience)
5+ years in systems administration, platform support, or enterprise IT operations
Experience administering cloud/SaaS platforms in an enterprise environment
Strongly desired: experience with integrations, access management, and cost tracking for enterprise applications
Advanced technical expertise across document management, systems administration, database administration, and OS-level functionality

Nice-to-Have

Experience working in a law firm, legal operations, or legal tech environment
Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
Background in marketing automation, lead generation systems, or paid ads optimization
Experience with chatbots, call automation, or client intake systems
Familiarity with document automation, legal research tools, or eDiscovery platforms
Basic understanding of APIs, integrations, or no-code/low-code tools
Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
Knowledge of data privacy, compliance, and security considerations in AI implementation
Prior experience in a consulting, operations, or innovation-focused role

System and Work Setup Requirements

A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage
Headset/earphone with noise cancellation and webcam at 720p or higher resolution
A designated, quiet, and well-organized workspace free from distractions to facilitate focused work