Technical Solutions Delivery Manager - AI

Mset; Dubai; On-site; AED 350,000 - 450,000; Full time

Benefits offered by this job

Access to AI training and certifications

Flexible working arrangements

Collaborative, distributed team environment

Job summary

Mset is seeking a Technical Solutions Delivery Manager in Dubai to bridge AI strategy and hands-on solutions. In this senior leadership role, you will define the end-to-end architecture for complex mobile and digital loyalty platforms, collaborating with enterprise clients.

The ideal candidate should have proven experience creating AI strategies, mentoring teams, and embedding AI within SDLC processes. This role offers competitive compensation and access to cutting-edge AI tools.

Qualifications

• Proven ability to define and execute an AI strategy at an organisational level.
• Experience in gap analysis, use-case identification, and phased implementation roadmaps.
• Deep understanding of LLM capabilities and AI agent orchestration patterns.

Responsibilities

• Own end-to-end solution architecture for multi-market mobile and digital loyalty platforms.
• Lead technical discovery and presales with enterprise clients.
• Mentor engineering leads and ensure technical best practices.

Skills

Hands-on experience with Agentic AI tools

Experience defining AI strategy

Embedding AI agents in SDLC

Architecture of mobile applications

CI/CD, automated testing strategies

Technical presales experience

Tools

Jira

Confluence

Job description

# Technical Solutions Delivery Manager - AIUK / Europe (EMEA)Full-timeEngineeringWe are seeking a Technical Solutions Delivery Manager with deep technical expertise and a proven track record of defining and executing AI strategy within large-scale technology delivery programmes. This is a senior leadership role bridging strategic AI vision with hands-on solutioning – you will own the end-to-end solution architecture, lead technical presales and discovery, and shape the AI transformation roadmap for enterprise clients.The ideal candidate has personally created AI strategies in previous organisations – from gap analysis and use-case identification through to phased implementation roadmaps, governance frameworks, and value realisation tracking. You are equally comfortable presenting to C-suite executives and whiteboarding architecture with engineers.You will operate across client-facing and internal contexts: leading solution design for new engagements, defining reference architectures, mentoring engineering leads, and championing an Agentic AI-first delivery culture across the organisation.## What you’ll doOwn end-to-end solution architecture for complex, multi-market mobile and digital loyalty platforms, ensuring alignment with client business objectives and technical constraintsDefine and drive AI strategy across the SDLC – identifying automation opportunities, building use-case roadmaps aligned to PI cadence (e.g., AMJ, JAS, OND), and establishing governance for AI adoptionLead technical discovery, presales, and solutioning activities with enterprise clients, translating business challenges into structured delivery proposalsDesign reference architectures for mobile (iOS, Android, Flutter, React Native), backend (.NET, Node.js), cloud (Azure AKS, Web Apps), and AI agent integration (LangChain, CrewAI, Claude)Conduct solution reviews, architecture governance, and technical risk assessments across delivery squadsMentor and coach Engineering Leads and Senior Engineers on architecture best practices, AI tool adoption, and technical decision-makingDefine non-functional requirements (performance, scalability, security, accessibility) and ensure they are embedded in delivery from sprint zeroRepresent the engineering function in programme-level steering committees, PI planning events, and client-facing reviews## What you bring[MANDATORY] Hands-on experience with Agentic AI tools or advanced AI-assisted workflows (e.g., AI-driven code generation, autonomous testing agents, AI-powered architecture review, Claude, Cursor, Copilot Workspace) that have demonstrably improved personal or team efficiency by 150–200%. Candidates must demonstrate specific examples during the interview processProven experience defining and executing AI strategy at an organisational or programme level – including gap analysis, use-case prioritisation, phased roadmaps, governance frameworks, and ROI trackingExperience embedding AI agents across SDLC processes: requirements decomposition, design-to-code pipelines, automated test generation, intelligent deployment, and monitoringDeep understanding of LLM capabilities, prompt engineering, RAG pipelines, and AI agent orchestration patterns (tool use, multi-step reasoning, autonomous task completion)Ability to build AI maturity assessments and capability roadmaps for engineering organisationsExtensive experience architecting mobile applications at enterprise scale across iOS, Android, and cross-platform frameworks (Flutter / React Native)Strong understanding of cloud-native architecture patterns (microservices, event-driven, serverless) on Azure or equivalent platformsExperience with enterprise loyalty, rewards, or commerce platforms serving multiple markets with configuration-driven personalisationDeep knowledge of CI/CD, automated testing strategies, security tooling, and DevOps best practicesExperience with technical presales, RFP responses, estimation, and solution proposal developmentProficiency with Jira, Confluence, and programme-level delivery artefacts within PI planning frameworks (SAFe or equivalent)## Benefits & perksOpportunity to work on a globally recognised consumer brandAn AI-first engineering culture that invests in cutting-edge tools and continuous learningCollaborative, distributed team environment spanning multiple geographiesCompetitive compensation package with performance-based progressionAccess to AI training, certifications, conference attendance, and dedicated innovation timeFlexible working arrangements with a focus on outcomes over hours### About the teamYou’ll join a senior, embedded team across Dubai and India building the loyalty, CRM, data and AI platforms behind the world’s biggest brands. We lead with outcomes, work in the open, and wrap every engagement in ISO 27001 controls.### Apply nowSubmit your application for Technical Solutions Delivery Manager - AIApply for this role