IT Centre of Excellence Deployment Lead

Job not on LinkedIn

🔥 17 hours ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Commit

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.

📋 Description

• Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE) • Guide and support development teams in designing, implementing, and adopting AI solutions • Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches • Facilitate collaboration between AI experts, data teams, software development teams, architects, and technology stakeholders • Provide training, coaching, and ongoing enablement for teams delivering AI initiatives • Build and maintain AI playbooks, implementation guidelines, reference architectures, templates, and knowledge assets • Drive consistency, quality, governance, and scalability across AI implementations • Support project execution, manage dependencies, identify risks, and help teams overcome implementation challenges • Lead AI knowledge-sharing activities, communities of practice, and professional development programs

🎯 Requirements

• 4+ years of experience in software development, data, analytics, AI, or related technology domains • Hands-on experience with Python, APIs, data platforms, cloud technologies, and AI tooling • Strong understanding of AI, GenAI, LLMs, automation, and modern technology architectures • Understanding of how LLM solutions are built and evaluated, including RAG, prompting, agents, and guardrails • Practical grasp of AI delivery methodology, standards, governance, and operational practices for reliable production AI solutions • Ability to translate business needs into technical requirements and actionable implementation plans • Experience working with cross-functional development and technology teams • Strong facilitation, training, and stakeholder management skills • Ability to produce clear solution/reference architecture and technical documentation • Excellent communication and presentation abilities • Self-driven, proactive, and engaged with AI and emerging technologies