Agentic AI

OneSource Consulting; Brussel Hoofdstad; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

OneSource Consulting is seeking a senior IT governance consultant to drive the integration of Agentic AI into PRINCE2 Agile delivery frameworks. You will define an operating model for AI-enabled project delivery, identify activities suitable for AI support, and align governance, controls and templates with the existing toolchain.

The role requires deep experience in IT governance, agile delivery, and AI-enabled software engineering.

Competenze

• 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.

Mansioni

• Define the target operating model for Agentic AI within IT project and application delivery.
• Identify activities that can be supported by AI agents and those needing human oversight.
• Integrate the operating model into PRINCE2 Agile governance, including governance structures.
• Define how AI agents support requirements, epics, user stories, planning and risk management.
• Design a controlled Agentic AI delivery flow covering architecture, code reviews, testing and release prep.
• Translate the model into requirements for Azure DevOps and ServiceNow with end-to-end traceability.
• Support pilots or PoCs and formulate scaling recommendations.
• Establish Agentic AI governance principles and RACI mappings.
• Map to PRINCE2 Agile gates, tolerances and escalation.
• Define end-to-end Agentic AI-enabled project and software delivery processes.
• Define Ready/Done, quality and security control framework.
• Create traceability for Azure DevOps and ServiceNow.
• Plan pilot/PoC approach and scaling recommendations.

Conoscenze

Senior IT governance experience

PRINCE2/PRINCE2 Agile

Generative AI & AI agents

Operating model design

SDLC, CI/CD, DevOps

Stakeholder management & facilitation

Azure Repos, APIs & integration

AI-assisted software engineering

Strumenti

Azure DevOps

ServiceNow

Azure DevOps tooling

Descrizione del lavoro

Duration: ASAP- 31/12/2026 months with possible extension

Work Regime: Fulltime | Hybrid (2-3 days onsite per week)

Job Description - Roles and Responsibilities

• Client wants to further develop how IT projects are prepared, governed and delivered by structurally integrating Agentic AI into application delivery and project management.
• The consultant will define and validate an Agentic AI-enabled delivery approach that fits the existing PRINCE2 Agile methodology and supports the full software delivery lifecycle.
• The consultant will work closely with business, project management, architecture, development, testing, security and operations stakeholders, and translate the target model into practical processes, controls, templates, tooling requirements and pilot use cases.

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.
• 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.