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.

• 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.