Mulesoft Integration Project Manager - (AI Services)

ZipRecruiter; London; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services client is seeking a Project Manager with deep knowledge of MuleSoft to lead the implementation of a greenfield project. This remote role focuses on delivering an enterprise integration layer and strategic AI initiatives, offering full benefits and a bonus scheme. The ideal candidate will manage cross-functional teams and ensure agile maturity in project delivery.

Benefits

Full benefits

Bonus scheme

Qualifications

• Strong knowledge of MuleSoft, preferably with project experience.
• Proven project management skills in integration projects.
• Experience with AI-driven services and platforms.

Responsibilities

• Deliver end-to-end enterprise integration using MuleSoft.
• Strategically employ AI initiatives across business units.
• Manage vendor relationships and build capabilities.

Skills

MuleSoft implementation

Project management

AI initiatives

Agile methodologies

Job description

Job Description

Our leading financial services client is looking for a strong Project Manager with deep knowledge and experience of implementing MuleSoft, ideally from scratch, as this is a greenfield project. The role involves spearheading the implementation and scaling of a cutting-edge integration platform, enabling seamless connectivity across systems and unlocking the full potential of data-driven and AI-enabled services.

This is a high-impact, strategic role at the heart of our digital transformation journey. You will be driving the delivery of a multi-jurisdictional MuleSoft platform and a suite of AI initiatives, working alongside executive leadership, internal tech teams, and global delivery partners.

This role will be fully remote and initially for 1 year (FTC). You will be entitled to full benefits and a bonus scheme, aligned with other permanent staff.

• End-to-end delivery of a complex enterprise integration layer using MuleSoft Anypoint Platform.
• Strategic planning and execution of AI initiatives across multiple business units.
• Governance, performance management, and agile maturity across delivery teams.
• Vendor management and capability building to reduce long-term dependency.
• Technical design, architecture standards, and API governance.