Oliver James is partnering with a major organisation in the Life Sciences sector that is entering the next phase of its internal AI transformation. We are seeking an AI Integration Engineer / AI Expert to support the scaling of enterprise AI initiatives, strengthen governance structures, and drive hands-on implementation across the business.
This role sits within Corporate IT and focuses exclusively on internal AI enablement, covering workflow optimisation, automation, collaboration tools, and knowledge management.
Role Overview
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.
Key Responsibilities
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.
Candidate Profile
Required
* 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.
Preferred
* 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.