Senior Agentic AI Delivery & Governance Consultant

Job Description

Are you passionate about the future of software delivery and the transformative impact of AI on project execution? We are looking for a Senior Agentic AI Delivery & Governance Consultant to help shape and implement AI-enabled delivery practices across modern IT environments.

This assignment focuses on integrating Agentic AI capabilities into software delivery processes, governance frameworks, and project management methodologies while maintaining strong control, quality, security, and compliance standards.

Your Responsibilities

• Define and implement an Agentic AI operating model within software delivery and IT project environments.

• Identify opportunities where AI agents can support delivery activities while establishing appropriate human oversight and governance.

• Design governance frameworks covering roles, responsibilities, decision-making, auditability, access management, and risk control.

• Integrate Agentic AI practices into Agile and project delivery methodologies.

• Define how AI can support requirements gathering, user stories, planning, risk management, reporting, traceability, and release preparation.

• Design AI-enabled delivery flows across architecture, software development, testing, security reviews, documentation, and deployment activities.

• Translate business and delivery requirements into tooling and integration needs.

• Facilitate workshops with both technical and business stakeholders.

• Support pilot initiatives, proof-of-concepts, and the scaling of AI-enabled delivery capabilities.

Profile

Requirements

• Proven senior-level experience in IT governance, project delivery, or software delivery management.

• Strong knowledge of Agile delivery methodologies and project governance frameworks.

• Experience with Generative AI, AI agents, agentic workflows, and human-in-the-loop governance concepts.

• Hands-on experience designing operating models, governance processes, controls, and decision frameworks.

• Solid understanding of the Software Development Lifecycle (SDLC), DevOps practices, CI/CD, and release management.

• Strong stakeholder management and workshop facilitation skills.

• Experience working with Azure DevOps and modern software engineering practices.

• Knowledge of architecture governance, APIs, integration patterns, and traceability frameworks.

• Experience with AI-assisted software engineering, multi-agent orchestration, LLM governance, or AI observability is considered a strong asset.

Soft Skills

• Strategic and analytical mindset.

• Strong communication skills.

• Ability to bridge business and technical stakeholders.

• Autonomous and results-oriented approach.

• Comfortable operating in complex enterprise environments.

• Strong facilitation and consultancy skills.

Additional Information

What's on Offer?

• Long-term assignment with possible extensions.

• Hybrid working model.

• Dynamic and innovative project landscape.

• Freelance consulting engagement.

Interested?

Reach out to discuss the assignment and discover how you can contribute to the next generation of AI-powered delivery and governance.