AI Technology Lead
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About the Role
Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.
Position Overview
This role is designed for an AI-fluent individual contributor who helps shape how Elite identifies, evaluates, and applies AI across both enterprise functions and product. The position partners closely with leaders and delivery teams to guide ideation around AI and agentic automation use cases, helping teams move from opportunity framing to practical implementation paths.
The position combines hands-on technical depth with strong strategic judgment. It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company’s broader AI direction through practical insight and demonstrated results. Rather than owning large-scale delivery directly, this role accelerates learning, informs decision-making, and helps establish scalable approaches that teams can adopt across the organization.
Work Arrangement: Remote
This role requires the individual to be based in Flexible across U.S. time zonestime zone.
Responsibilities
- Guide business, product, and technology teams through ideation for AI and agentic automation opportunities, helping frame use cases, value hypotheses, feasibility, and implementation approaches
- Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios
- Lead experimentation and rapid prototyping to validate new ideas, reduce uncertainty, and accelerate learning before broader investment or delivery
- Develop proof-of-concepts and reference implementations that demonstrate practical approaches for AI-enabled workflows, copilots, and agentic automation
- Influence enterprise and product AI strategy by surfacing insights from experimentation, identifying patterns, and recommending high-value opportunities and technology directions
- Partner with product, engineering, architecture, and business stakeholders to translate promising ideas into scalable implementation plans and adoption paths
- Help define practical standards, reusable patterns, and guardrails for responsible AI and agentic solution design
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