Senior Agentic AI Delivery & Governance Consultant (Freelance optional)

EngiFlex; Brussel Hoofdstad; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Company car

Hybrid work model

Education budget for certifications

Descrizione del lavoro

EngiFlex BV is seeking a Senior AI/IT Governance Consultant to embed Agentic AI into IT project delivery and application development. You will shape a governance model aligned with PRINCE2 Agile, collaborating with business, PM, architecture, development, testing, security and operations teams to translate it into practical processes, templates and pilots.

You will define roles, controls, and end-to-end traceability from demand to release, ensuring human-in-the-loop governance and auditability

Competenze

• Senior IT governance and project delivery experience in Agile environments.
• Strong knowledge of PRINCE2 and/or PRINCE2 Agile frameworks.
• Good knowledge of Generative AI, AI agents and agentic workflows.
• Experience shaping operating models, governance processes and decision gates.
• Solid understanding of SDLC, CI/CD, release management and DevOps practices.
• Excellent stakeholder management and communication across levels.

Mansioni

• Establish the target operating model for Agentic AI in IT project delivery.
• Define activities that can be AI-supported vs human-led with proper controls.
• Embed governance in PRINCE2 Agile and project portfolio governance.
• Specify AI support for requirements, epics, user stories and release prep.
• Design an end-to-end Agentic AI-enabled delivery process and traceability.
• Translate models into toolchain requirements (Azure DevOps, ServiceNow).
• Support pilots and provide scaling recommendations.

Conoscenze

Senior IT governance

PRINCE2 / PRINCE2 Agile

Generative AI

AI agents

Human-in-the-loop governance

Stakeholder management

Azure DevOps

Architecture decisions

Strumenti

Azure Repos

Pipelines

Test Plans

APIs

Integration architecture

Descrizione del lavoro

Description

The role focuses on embedding Agentic AI in the preparation, governance and delivery of IT projects and application development.

You will define and validate an Agentic AI-supported delivery model aligned with the existing PRINCE2 Agile methodology and applicable across the full software delivery lifecycle. In collaboration with business, project management, architecture, development, testing, security and operations stakeholders, you will translate this model into practical processes, controls, templates, tooling requirements and pilot use cases.

Key Responsibilities

• Establish the target operating model for Agentic AI in IT project and application delivery.
• Determine which activities can be supported by AI agents and which responsibilities must remain with people, covering human-in-the-loop controls, agent ownership, segregation of duties, access rights, auditability and escalation.
• Embed the operating model in 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, risk management, 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.
• Convert 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 provide recommendations for further industrialisation and scaling.

Expected Deliverables

• Target operating model and governance principles for Agentic AI.
• Roles and responsibilities, a RACI, an agent catalogue and a human-in-the-loop control model.
• Mapping to PRINCE2 Agile, including decision gates, tolerances, exception handling and escalation.
• An end-to-end Agentic AI-enabled project and software delivery process.
• Definition of Ready, Definition of Done, and a quality and security control framework.
• A traceability model and integration requirements for Azure DevOps and ServiceNow.
• A pilot or proof-of-concept approach, together with 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 DevOps, including Azure Repos, Pipelines and Test Plans, as well as Architecture Decision Records, APIs and integration architecture.
• Experience with AI-assisted software engineering, multi-agent orchestration, LLM governance or observability.

Working Conditions

• Close collaboration across business and IT functions in a senior consulting role.
• Hybrid working model, combining remote work with on-site presence in Brussels when required.

Your profile

You bring experience as a Senior Artificial Intelligence (AI) Engineer.

Key skills:

• AI agents
• Azure
• PRINCE2

Languages:

• Dutch or French
• English

Offer

You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
(Freelance is also possible)