We are looking for an experienced AI Delivery Manager to lead the delivery of complex AI and software solutions for enterprise customers.
This is a hands-on leadership position sitting at the intersection of technology, delivery and client engagement. You will take ownership of a cross-functional engineering team, translating customer requirements into structured delivery plans and ensuring high-quality solutions move successfully from discovery and MVP through to production and scale.
You will work closely with Software Engineers, AI/Data specialists, QA, Solution Architects and customer stakeholders, taking overall responsibility for delivery performance, technical coordination and client satisfaction.
Key Responsibilities
Delivery & Execution:
- Own end-to-end delivery of AI and software solutions from discovery through production and ongoing optimisation.
- Translate business and technical requirements into clear delivery roadmaps, sprint objectives and measurable milestones.
- Lead Agile delivery including sprint planning, stand-ups, backlog management, release planning and retrospectives.
- Track delivery velocity, dependencies, risks and blockers and ensure issues are resolved quickly.
- Coordinate releases across engineering, QA, architecture and platform teams.
- Maintain high standards around quality, testing, security and production readiness.
- Identify potential scope or timeline risks early and communicate appropriate mitigation plans.
Client & Stakeholder Management
- Act as the primary delivery contact for enterprise customers.
- Build strong relationships with senior business and technology stakeholders.
- Lead regular client reviews, communicating technical progress in clear business terms.
- Facilitate discovery sessions to understand customer workflows, challenges and desired outcomes.
- Translate requirements into actionable user stories and acceptance criteria.
- Manage changes in scope and assess their impact on timelines, resources and commercial delivery.
- Set clear expectations throughout the project lifecycle.
Team Leadership:
- Lead and enable multidisciplinary teams across Software Engineering, AI/Data, Frontend, Backend and QA.
- Create an environment where teams can deliver quickly without compromising engineering quality.
- Identify skills gaps and support the continued development of engineers.
- Remove delivery friction and encourage collaboration across technical disciplines.
- Promote knowledge sharing, peer reviews and continuous improvement.
- Foster a culture of accountability, ownership and learning.
Technical & Architecture Governance
- Work closely with Solution Architects and senior engineers to guide technical decisions.
- Ensure solutions are scalable, secure and aligned with customer requirements.
- Maintain appropriate engineering standards across code quality, testing, security and documentation.
- Review technical approaches and challenge engineering decisions where appropriate.
- Manage technical debt and balance short-term delivery requirements against long-term platform quality.
- Ensure appropriate architecture decisions and technical documentation are maintained.
- Support delivery across cloud-based and enterprise environments, including integration with existing customer platforms.
Resource & Commercial Management
- Own resource planning across assigned projects and delivery teams.
- Support hiring and team-building decisions as delivery requirements grow.
- Manage project capacity and ensure resources are aligned to customer priorities.
- Provide input into technology, tooling and infrastructure investment decisions.
- Maintain visibility over delivery costs and project performance.
Required Experience
- 8+ years' experience across software delivery, technology programme delivery, product delivery or engineering leadership.
- 3+ years leading cross-functional technology teams across areas such as Backend, Frontend, Data/AI and QA.
- Demonstrable experience taking technology products or solutions from initial discovery and MVP through to production and scale.
- Strong Agile delivery experience including sprint planning, backlog management, release management and delivery metrics.
- Significant experience working directly with enterprise customers and senior technology stakeholders.
- Strong enough technically to engage credibly with engineers and architects and challenge technical decisions when required.
- Comfortable reviewing areas such as APIs, data models, integration patterns, cloud architectures and deployment processes.
- Experience delivering complex enterprise software, digital platforms or technology transformation programmes.
Desirable Experience
- Delivery of AI/ML or Generative AI solutions within enterprise environments.
- Exposure to technologies such as LLMs, AI agents, RAG, model integration or prompt engineering.
- Experience delivering solutions across Azure or other major cloud platforms.
- Exposure to Oracle environments and enterprise data integrations.
- Understanding of modern DevOps practices, CI/CD, Docker and Kubernetes.
- Experience delivering technology within highly regulated or security-conscious environments.
- Knowledge of UAE enterprise technology environments and associated security, compliance and data requirements.
- Exposure to GPU infrastructure or large-scale AI/ML workloads would be advantageous.
