Relationship Management

Internal: IT team, Information Security, Data Protection, HR, Supply Chain, Finance, Programs

External: Software/AI vendors and tool providers as required

About Relief International

Relief International (RI) is an international non-profit organization partnering with communities impacted by conflict, climate change, and disaster to save lives, build resilience, and promote long-term health and wellbeing.

Our team of over 5,000 staff and volunteers operates across Africa, Asia, and the Middle East, delivering Health & Nutrition, WASH, Education, and Livelihoods programming. We work with local actors to provide safe, inclusive, evidence-based, conflict-sensitive, and climate-smart solutions.

RI operates as an alliance of four organizations under one senior leadership team: Relief International, Inc., Relief International-France, Relief International-UK, and Relief International-Europe.

Job Profile

This newly created role aims to build and embed practical AI capabilities across the organization, helping staff access and generate information faster and more reliably. You will work within the global IT function and collaborate with HR, Supply Chain, Finance, and Programmes teams to deliver AI tools that improve daily workflows.

The role focuses on designing and building AI agents and chatbots within Microsoft Copilot using organizational data stored in SharePoint, including policies, SOPs, guidance, templates, meeting notes, donor rules, and proposals. You will create Retrieval‑Augmented Generation (RAG) solutions that:

Answer staff questions using approved RI documents only
Provide clear citations to source documents
Respect existing SharePoint permissions
Work reliably across multiple countries and functions

This is a hands-on, delivery-focused role. You will translate high-level business needs into safe, usable Copilot solutions, focusing on practical deployment rather than academic research or model training.

Key Responsibilities

Build Copilot Agents

Design and build Copilot agents using RAG to interrogate internal repositories and produce structured, citation-based answers and draft documents.
Configure knowledge sources, prompts, and grounding rules to ensure responses are accurate and policy-based.
Support common NGO use cases, such as policy and compliance queries, SOP lookups, drafting structured documents, product pricing, and meeting summaries.

Knowledge Ingestion and Retrieval

Prepare SharePoint content for AI retrieval, including document structuring, chunking, metadata, and tagging.
Handle multiple document versions and ensure only the latest approved content is used.
Improve retrieval quality using Copilot and Microsoft search capabilities.

Security, Privacy, and Responsible Use

Ensure AI agents respect user permissions.
Apply safe-by-design practices to reduce AI risks like hallucinations or inappropriate data exposure.
Collaborate with IT, Information Security, and Data Protection to ensure compliance with RI policies and donor expectations.

Stakeholder Engagement and Enablement

Define RI’s AI principles and guardrails and communicate internally.
Work with HR, Finance, Supply Chain, and Programs to identify priority AI use cases.
Translate business questions into practical, safe AI-enabled solutions.
Develop guidance, training, FAQs, and adoption materials for staff on effective AI usage.
Document technical processes (architecture, runbooks, data flows, access control models, test scripts).
Support IT teams in first-line, second-line, and third-line support for AI tools.
Monitor AI agent usage, quality, and continuously improve solutions based on feedback.

Behaviour and Conduct

Uphold the highest standards of professional behavior and ethical conduct in line with RI’s code of conduct and safeguarding policies.
Ensure actions do not compromise staff or community safety.
Report concerns and maintain transparency with external stakeholders.

Person Specification

Essential Criteria

Practical experience building AI assistants or chatbots using RAG over organizational documents (SharePoint, file servers, Confluence).
Hands-on experience with Microsoft 365 ecosystem, especially SharePoint, Teams, and Copilot.
Ability to process large document volumes for AI retrieval.
Working knowledge of identity and access control concepts.
Experience building production-grade tools used by real users.
Strong ability to work independently and explain technical decisions simply.
Experience supporting non-technical users in new digital tools.
Comfortable working in a globally distributed organization.

Desirable Criteria

Experience with Azure services related to search or AI (e.g., Azure AI Search).
Familiarity with data protection, information governance, or audit requirements.
Experience working in NGOs, humanitarian, or donor-funded environments.

RI Values

Guided by humanitarian principles and “Do No Harm,” RI values:

Integrity
Adaptability
Collaboration
Inclusivity
Sustainability

Relief International

Open Positions (1)

AI Solutions Engineer