AI Integration Engineer / AI Expert

The organisation has completed a series of decentralised AI pilots and is now transitioning toward a unified and secure enterprise operating model. As part of this shift, you will play a central role in defining best practices, integrating AI tools, and improving adoption across departments. The role combines 60% hands-on implementation and 40% strategic contribution., AI Governance & Operating Model

• Review and refine the organisation's existing AI governance framework.
• Strengthen ownership, accountability, and approval processes aligned with regulated-industry expectations.
• Support secure and compliant AI usage across the enterprise.

Hands-on Integration & Implementation

• Configure, integrate, and operationalise AI tools such as Microsoft Copilot, ChatGPT Enterprise, Claude, GitHub Copilot, and internal LLM-based assistants.
• Develop and support multi-agent conversational bots, unified bot identities, and knowledge-retrieval workflows (RAG).
• Build automation and orchestration workflows using "any-to-any" platforms.
• Provide technical support around configuration, scalability, and risk assessment.

Roadmap Execution & Enablement

• Contribute to the execution of the 2026 internal AI roadmap.
• Drive internal initiatives such as the AI Knowledge Base, AI Champions Program, and role-specific training content.
• Help evaluate new tools and manage an evolving backlog of business requests.

Change Management & Adoption

• Support training, documentation, and safe-use guidance tailored to different roles.
• Develop adoption metrics and ensure consistent usage across teams.
• Engage cross-functional stakeholders to embed AI into day-to-day operations.

• Hands-on experience integrating and implementing AI tools in cloud-first environments.
• Strong understanding of AI automation patterns, APIs, and enterprise security.
• Ability to translate business needs into practical AI-enabled workflows.
• Experience supporting or scaling governance in organisations with regulated or quality-driven processes.
• Strong communication and documentation skills, particularly in English., * Familiarity with identity and access management frameworks (e.g., Entra ID).
• Experience with multi-LLM environments or orchestration tools.
• Background in Life Sciences, Pharma, or other highly regulated sectors.