AI IT Centre of Excellence Deploy Lead

Join the company and help scale AI capabilities across the organization. As the AI IT Centre of Excellence (COE) Deploy Lead , you will own the methodologies, standards, and deployment practices that make AI implementation repeatable and reliable across Strauss. You will act as the professional focal point for AI delivery — working alongside AI experts, data teams, software developers, architects, and business stakeholders to ensure consistent, high-quality delivery of AI initiatives while building organizational knowledge and capability. Employment model: Israel-based, offshore/outsourcing engagement (not a buy-out). Key Responsibilities • Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE). • Guide and support development teams in the design, implementation, and adoption of AI solutions. • Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches across the organization. • 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 — including how LLM solutions are actually built and evaluated (RAG, prompting, agents, guardrails). • Practical grasp of AI delivery methodology: standards, governance, and the operational practices that keep AI solutions reliable in production. • 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.