VP, Technology and R&D (AI-DLC Transformation Leader)

Cora Group, Inc.Cora Group, Inc.·Remote(United States)
Other
Excel

WFA Digital Insight

As demand for AI-driven solutions grows, Cora Group is seeking a seasoned Technology leader to propel their AI-DLC transformation forward. With Excel skills and experience in AI development lifecycle, candidates can stand out in this competitive remote job market. Notably, the legal tech industry has seen significant advancements, and Cora Group's commitment to innovation makes this role an exciting prospect for those looking to drive change.

Job Description

About the Role

The VP, Technology and R&D will lead Cora Group's engineering execution and modernization, focusing on the conversion from SDLC to an AI Development Lifecycle (AI-DLC). This role requires a hands-on, high-impact leader to set technical direction, build and scale the delivery system, and ship AI-enabled capabilities safely and reliably.

Responsibilities

  • Lead SDLC to AI-DLC transformation: own AI delivery from intake/data readiness through evaluation, deployment, monitoring, and iteration
  • Governance & trust: ensure privacy, security, auditability, model/vendor risk controls, and human-in-the-loop use
  • Technical strategy & platform: drive architecture, data/integrations, QA automation, reliability, and secure engineering (CI/CD, testing, observability)

Requirements

  • Demonstrated AI and AI-DLC experience, including model evaluation, production monitoring, governance, and transformation from SDLC to AI-DLC

How to Stand Out

  • Ensure your resume highlights experience with AI development lifecycle and SDLC transformation
  • Develop a portfolio showcasing your technical strategy and governance skills
  • Prepare to discuss your approach to leading cross-functional teams and driving change in a remote setting
  • Familiarize yourself with Cora Group's products and services to demonstrate your understanding of their business needs
  • Be ready to provide specific examples of your experience with data readiness, evaluation, deployment, and monitoring of AI-enabled capabilities

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