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Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Business Strategyunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Securityunmatched
Computer Visionunmatched
GCP (Good Clinical Practices)unmatched
Information/Data Security (InfoSec)unmatched
Leadershipunmatched
Legalunmatched
Microsoft Windows Azureunmatched
Modeling Languagesunmatched
Natural Language Processing (NLP)unmatched
Performance Analysisunmatched
Problem Solving Skillsunmatched
Process Engineeringunmatched
Product Strategyunmatched
Prototypingunmatched
Regulatory Requirementsunmatched
Test Plan/Scheduleunmatched
Description
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
Legal Process Engineering
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
Requirements
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