Director of AI Enablement, R&D

So, what’s the role all about?

NiCE is looking for a Director of AI Enablement to lead the transition of our R&D organization to AI driven development and SDLC.  The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimize the development experience and velocity, applying the new AI based development methodologies across our  our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.

 

How will you make an impact?  

Upskill engineers — run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC

• Join R&D teams, on demand, to help with hands on AI based coding tasks.
• Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
• Proactively suggest tools and processes to improve developer experience and productivity
• “Train the trainer”- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
• Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.

 

Have you got what it takes?

• Strong technical background and hands on experience in software engineering. 10+ yrs software engineering, 3+ yrs hands‑on with AI coding tools
• Works closely with the leading AI coding tools (GitHub CP, ClaudeCode, Cursor, …)
• Experience developing against the AWS platform
• Experience developing and using AI Agents
• Experience in MCP and A2A protocols
• Great communication skills and ability to work within large distributed organization
• Exceptional developer‑to‑developer communication and the ability to work autonomously across time zones
• Leadership & influence—mentors engineers, drives cross‑functional adoption, and unites remote teams around shared AI standards.
• Executive leadership – ability to build short and long term plans, get buy in from management and from the dev teams, ability to present in executive forums.
• Managerial experience equivalent to Director/VP with proven experience in enterprise software company