Infrastructure Project Manager
La Fosse
Cambridge, United Kingdom
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 156KJob location
Cambridge, United Kingdom
Tech stack
Agile Methodologies
Artificial Intelligence
Confluence
JIRA
Big Data
Cloud Computing
Power BI
Large Language Models
Information Technology
Data Management
Job description
We're hiring on behalf of a global technology client for a Senior IT Project Manager to lead the end-to-end delivery of GenAI and AI initiatives, including Copilot-style assistants, automation and AI-enabled workflows.
This is a hands-on delivery role, working across global engineering, operations and enterprise teams to shape, deliver and scale AI solutions.
Responsibilities
- Lead the end-to-end delivery of multiple AI and GenAI initiatives, from discovery through to production
- Deliver projects including AI assistants, workflow automation and agentic AI solutions
- Confidently run multiple initiatives in parallel across Agile or hybrid delivery models, managing dependencies across distributed teams
- Act as a bridge between technical and non-technical stakeholders, simplifying complex concepts
- Ensure solutions are scalable, governed and aligned to enterprise standards
Requirements
- Proven experience delivering GenAI / AI projects end-to-end within large or global organisations
- Hands-on experience with Copilot or similar GenAI assistant implementations, LLM
- Background in cloud, data platforms and automation technologies
- Experience working on large-scale data platforms or transformation programmes, with familiarity with AI governance or responsible AI principles
- Confident running multiple initiatives at once, working across Agile or hybrid delivery models, and managing dependencies across teams in different locations
- Knowledge of tools such as Jira, Confluence and Power BI
- Strong communication skills and comfort operating in fast-moving, ambiguous environments