Lead AI Solutions Architect Legal Operations

Key Responsibilities
Remote 37.5 work week
Knows how to build systems with different AI tools (ChatGPT, Copilot)
Requesting BR for level 2 (5-9 years) & level 3 (10 years)
Potential conversion after 6 months based on performance
Legal experience is preferred but not required. Heavy focus on tech.

AI & Technology Architecture

• Architect how AI agents, large language models, and automation platforms integrate across our legal workflows
• Directly build internal tools, working side-by-side with attorneys to understand requirements, prototype solutions, iterate based on feedback, and ship production-quality applications
• Own the full engineering lifecycle of internal tools: design, development, testing, deployment, and ongoing maintenance
• Ensure tools comply with data governance, security, and confidentiality requirements
• Monitor tool performance and usage, proactively identifying where systems need to be rethought or rebuilt
• Translate legal requirements into engineering specifications and build solutions that attorneys find intuitive and trust
• Collaborate with IT and Security to ensure tools are properly hosted, secured, and integrated with existing infrastructure

• Map current legal workflows end-to-end to identify inefficiencies, manual bottlenecks, and automation opportunities
• Redesign processes before deploying technology, fixing the process first, then building the system around it
• Develop and maintain a living operating model for how legal services are designed, staffed, and delivered
• Define what stays in-house, what AI handles, and what goes to outside counsel, and build the workflows to execute that model

• Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor.
• Experience with cloud and MLOps: Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring
• Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy
• Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and partners