AI Delivery Lead — Enterprise Solutions

Quantum Talent Group

Dubai

On-site

AED 300,000 - 520,000

Full time

7 days ago

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Job summary

Quantum Talent Group is seeking an experienced AI Delivery Manager to lead enterprise AI and software delivery from discovery to production. You will manage cross-functional teams, translate customer requirements into actionable plans, and ensure quality, security and timely delivery.

The role blends technology leadership with client engagement at scale. You will guide Agile delivery, coordinate releases, and maintain strong stakeholder relationships, ensuring success across complex programs and

Qualifications

8+ years' experience across software delivery or engineering leadership.
3+ years leading cross-functional tech teams.
Experience taking AI/ML solutions from discovery to production.
Strong Agile delivery with sprint planning and metrics.
Experience with enterprise customers and senior stakeholders.
Technical credibility to engage with engineers and architects.
Experience with Azure and other major clouds.
Knowledge of CI/CD, Docker and Kubernetes.
Delivery in regulated or security-conscious environments.
Familiarity with UAE enterprise tech landscape.

Responsibilities

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.
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.
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.