Senior Consultant Agentic AI

Keystone Solutions; Brussel; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Keystone Solutions in Brussels seeks a Senior Consultant specializing in Agentic AI to drive governance and delivery improvements on client engagements. You will design operating models, integrate AI agents into delivery, and align with PRINCE2 Agile within IT programs.

Responsibilities span governance, requirements, traceability, and end-to-end delivery, with on-site collaboration in Brussels and flexible remote work. English and Dutch/French proficiency valued.

Qualifications

• Senior-level experience in IT governance and project delivery.
• Strong knowledge of PRINCE2 and/or PRINCE2 Agile.
• Experience with AI agents and governance.

Responsibilities

• Define the target operating model for Agentic AI within IT projects.
• Identify activities to be AI-supported and human-driven with controls.
• Integrate governance into PRINCE2 Agile and project boards.
• Translate requirements for Azure DevOps and ServiceNow with traceability.
• Support pilots and prepare for scaling.
• Collaborate with stakeholders across management and technical teams.

Skills

IT governance

PRINCE2 Agile

Generative AI

Stakeholder mgmt

DevOps

Education

Bachelor's degree in IT

Tools

Azure DevOps

ServiceNow

Azure Repos

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