Senior Consultant Agentic AI

Keystone Solutions; Brussel Hoofdstad; Hybrid; EUR 78,000 - 100,000; Full time

Job summary

Keystone Solutions is seeking a Senior Consultant specialized in Agentic AI for a client-site assignment in Brussels. You will shape the target operating model for AI-enabled IT project delivery and establish governance, roles, and decision gates.

The role requires deep experience in PRINCE2/PRINCE2 Agile, Azure DevOps, ServiceNow, and multi-agent orchestration, with a focus on human-in-the-loop governance and end-to-end traceability.

Qualifications

• Senior IT governance and delivery experience with Agile methods.
• Strong knowledge of PRINCE2/PRINCE2 Agile.
• Experience with Azure DevOps, ServiceNow and end-to-end traceability.

Responsibilities

• Define operating model and governance for Agentic AI in IT projects.
• Map AI agent roles, RACI, and human-in-the-loop controls.
• Align with PRINCE2 Agile governance and project boards.
• Design end-to-end AI-enabled delivery process.
• Translate requirements to Azure DevOps/ServiceNow.

Skills

IT governance

Agile delivery

PRINCE2/PRINCE2 Agile

Stakeholder management

AI governance

DevOps concepts

Tools

Azure DevOps

Azure Repos

Pipelines

ServiceNow

APIs integration

Architecture decision records

Job description

Mission Overview

Keystone Solutions is seeking a Senior Consultant specializing in Agentic AI for a consultancy mission at a client site. The consultant will play a pivotal role in enhancing IT project preparation, governance, and delivery by integrating Agentic AI into application delivery and project management.

Key Responsibilities

• Define the target operating model for Agentic AI within IT project and application delivery.
• Identify which activities can be supported by AI agents and which responsibilities must remain human, including human-in-the-loop controls, agent ownership, segregation of duties, access rights, auditability, and escalation.
• Integrate the operating model into PRINCE2 Agile governance, including portfolio and Project Board governance, roles, tolerances, management by exception, stage and release planning, risk, quality, and change management.
• Define how AI agents can support requirements, epics and user stories, acceptance criteria, planning, dependencies, risks, reporting, traceability, release preparation, and lessons learned.
• Design a controlled Agentic AI-enabled delivery flow covering architecture, software development, code and security reviews, testing, technical documentation, and release preparation.
• Translate the model into requirements for the existing toolchain, including Azure DevOps and ServiceNow, with end-to-end traceability from demand through change and release.
• Support pilots or proofs of concept and formulate recommendations for further industrialization and scaling.

Expected Deliverables

• Agentic AI target operating model and governance principles.
• Roles and responsibilities, RACI, agent catalogue, and human-in-the-loop control model.
• Mapping to PRINCE2 Agile, including decision gates, tolerances, exception handling, and escalation.
• End-to-end Agentic AI-enabled project and software delivery process.
• Definition of Ready, Definition of Done, quality and security control framework.
• Traceability model and integration requirements for Azure DevOps and ServiceNow.
• Pilot or proof-of-concept approach and recommendations for scaling.

Required Skills & Experience

• Senior-level experience in IT governance, project delivery, and Agile software delivery.
• Strong practical knowledge of PRINCE2 and/or PRINCE2 Agile.
• Good knowledge of Generative AI, AI agents, agentic workflows, and human-in-the-loop governance.
• Experience designing operating models, governance processes, roles, controls, and decision gates.
• Good understanding of the software development lifecycle, CI/CD, release management, and DevOps ways of working.
• Strong stakeholder management, workshop facilitation, and communication skills across management and technical teams.
• Knowledge of Azure Repos, Pipelines, Test Plans, Architecture Decision Records, APIs, and integration architecture.
• Experience with AI-assisted software engineering, multi-agent orchestration, LLM governance, or observability.

Working Conditions

This is a senior consultancy assignment with close collaboration across business and IT functions. The role will follow a hybrid working model, combining remote work with on-site presence in Brussels as required. Start date, duration, and level of engagement will be agreed based on availability and project planning.

Duration

As soon as possible - 31/12/2026 2 months (full time)

Skills required

• AI agents - Level: Expert - Most recent: Any time
• Azure - Level: Expert - Most recent: Any time
• Prince 2 - Level: Expert - Most recent: Any time

Language requirements

Dutch or French
Level Professional working proficiency
English
Level Professional working proficiency