AI Solutions and Implementation Lead

Salary: £50,000 - 50,000 per year

• We have hands‑on experience configuring Microsoft Copilot agents and working within the Microsoft 365 ecosystem, including SharePoint, Teams, and Copilot Studio, or equivalent experience in comparable enterprise AI platforms that can transfer to the Copilot environment.
• We bring 3–5 years experience in a role blending business analysis, requirements definition, implementation, digital transformation consulting, solutions consulting, implementation management, or a senior BA or solution architecture role with technical teams.
• We can lead discovery workshops and translate complex, multi-stakeholder business problems into structured, actionable briefs.
• We have strong process mapping skills and can design and document future‑state workflows that are clear, logical, and implementable.
• We have experience working within enterprise environments, including navigating organisational complexity, managing stakeholder relationships across levels and functions, and working alongside internal technology teams.
• We have excellent written and verbal communication skills, including the ability to produce clear documentation, user stories, and build specifications.
• We understand conversational AI design principles, including how to structure agent instructions, configure knowledge sources, and develop prompts that produce reliable, high‑quality outputs.
• We have familiarity with prompt engineering best practices.
• We understand authentication and security concepts relevant to enterprise AI environments, such as OAuth, Microsoft Entra , and role‑based access controls.
• We have strong troubleshooting and analytical skills, and can diagnose agent behaviour issues, interpret unexpected outputs, and iterate systematically toward reliable performance.
• We understand governance and compliance considerations in enterprise AI deployments, including data handling, access controls, and operating within regulated environments.
• Nice to have: experience with knowledge management, information architecture, or content governance.
• Nice to have: experience with other AI productivity tooling alongside Microsoft Copilot.
• Nice to have: familiarity with no‑code/low‑code automation tools such as Power Automate, Zapier, or Make.
• Nice to have: exposure to pharmaceutical, life sciences, or similarly regulated enterprise environments.
• Nice to have: experience working in an agency or consultancy context, managing relationships with external clients.

• We lead structured discovery sessions and requirements‑gathering workshops with pharmaceutical client stakeholders across functions and markets.
• We map current‑state processes and design future‑state AI‑assisted workflows to identify where Microsoft Copilot agents can reduce manual effort, improve consistency, and generate time savings.
• We produce business requirements documentation, process flow diagrams, and user stories with acceptance criteria that guide configuration decisions.
• We work alongside our Delivery Manager, who owns logistics, coordination, and project management, while we focus on domain expertise and build delivery.
• We configure and implement Microsoft Copilot agents and AI‑powered modules within the clients Microsoft 365 environment.
• We work within SharePoint, Teams, and the broader Microsoft 365 stack to deploy and integrate Copilot‑based solutions to agreed specifications.
• We develop prompts, knowledge sources, and agent instructions that produce reliable, high‑quality outputs aligned to the clients business context.
• We collaborate with the clients internal technology teams on environment configuration and integration touchpoints.
• We maintain thorough documentation of build decisions, configuration choices, and test outcomes to support handover and continuity.
• We configure security settings, permissions, and governance policies within the Copilot and Microsoft 365 environment.
• We own internal testing of all configured modules, validating agent behaviour against acceptance criteria and iterating based on findings.
• We coordinate and facilitate pilot programmes with client user groups, manage feedback loops, and lead post‑pilot iteration…