Artificial Intelligence Engineer

Client: Agency of the United Nations

Start date : ASAP.

Location : remote Europe, Valencia time zone (CET).

Full time project from Monday to Friday.

Duration: initially 3 months with possibility of extension.

Rate : Based on experience and budget availability

We're Hiring: Two AI Consultancy Roles

We're looking to fill two separate AI consultancy engagements. Please note in your application which role you're applying for — Role 1: AI for Finance or Role 2: AI Developer . You may apply for one or both.

ROLE 1 — AI FOR FINANCE (Consultant)

About the role

A specialist consultancy to operationalise a set of AI use cases for a finance function. The consultant will develop and validate the AI content these use cases depend on, enable a network of internal trainers to deliver the associated training independently, build the required solutions and automated workflows, and provide technical support to key staff — including standby technical support for a Finance AI workshop.

Context

A set of finance use cases has been identified across the offices and units concerned. Each describes an existing manual finance process, the outcome sought, and the data the solution would rely on. Between them, the use cases span reconciliation and verification, quality assurance of financial and donor reporting, budgeting and cost analysis, data analysis and reporting, controls and anomaly detection, workflow automation, visualisation and dashboards, research and due diligence, staff enablement, and document drafting and editing.

The list of use cases is a living document and is expected to grow. The consultant is expected to confirm the delivery route for each use case at inception and as work proceeds, to recommend the simplest approach that meets the requirement, and to accommodate reasonable additions and reprioritisation within the agreed scope.

Areas of work

A. Content development and validation — Convert the identified use cases into working, tested content. Begin with a proof of concept on a small number of representative use cases, demonstrated end to end and agreed before wider build. Draft and refine prompts and structured projects;
assemble the reference material each solution depends on (checklists, guidance, approved templates);
validate every asset before release, including by deliberately introducing known errors into test files and confirming they are detected;
and record each asset in a controlled library with its version, owner, date last tested and known limitations.

B. Building agents and automated workflows — Build the required agents together with the structured projects and automated workflows that go with them. Design each agent's task, instructions, permitted data sources and tools, and its handover point back to a person;
design the triggers, routing, folder structures and status tracking;
define a human review and approval point in every workflow;
test with genuine working data;
and obtain sign-off from the owner of each solution.

C. Prompt library — Establish and maintain a controlled, version-managed prompt library covering the validated content, in place and populated before the training of trainers begins, and updated through the remainder of the engagement.

D. Training of trainers — Build internal training capacity rather than deliver end-user training directly. Design a train-the-trainer curriculum with a facilitator guide, session plans, exercises based on genuine but de-identified working files, model answers and troubleshooting notes;
deliver the sessions and supervised practice runs;
assess each trainer against an agreed readiness checklist;
and coach trainers through their first independent deliveries. All materials to be provided in editable form.

E. Standby technical support for the Finance AI workshop — Act as the designated technical resource for a three-day Finance AI workshop. In advance, prepare and test the demonstration environment, sample data, accounts, access and equipment, and rehearse every live demonstration. During the workshop, remain on standby to resolve technical issues, support trainers and facilitators, staff a help desk, and hold contingency arrangements. Afterwards, record all issues raised, resolve those outstanding, and consolidate feedback into an improvement note.

F. Technical support and troubleshooting — Provide responsive support to key staff throughout the assignment. Diagnose and resolve issues with prompts, agents, application configuration, automated workflows, data extracts and outputs;
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