As a Technical Delivery Manager at the company, you will play a critical role in overseeing the successful delivery of AI projects, ensuring they are completed on time, within scope, and within budget. In this role, you will play a hands-on leadership role across architecture, planning, and agile execution to ensure seamless end-to-end delivery of AI solutions aligned with business objectives. You will combine engineering acumen and delivery leadership — bridging technical depth with project management excellence to drive the execution of applied AI programs across industries.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Responsibilities
- Lead a squad of engineers and AI specialists delivering AI-powered applications and platforms.
- Partner with architecture and product teams to translate business requirements into scalable, production-ready AI solutions.
- Oversee technical design, architecture reviews, and implementation using Azure Cloud services.
- Drive delivery excellence across the full lifecycle — planning, execution, release management, and post-delivery optimization.
- Manage project scope, timelines, and budgets while ensuring technical quality and compliance.
- Mentor engineering teams, promote best practices in AI/ML development, cloud architecture, and DevOps.
- Collaborate with cross-functional stakeholders to ensure alignment between business goals and technical execution.
- Champion agile delivery methodologies, continuous integration, and automation frameworks.
- Ensure effective risk management, issue resolution, and stakeholder communication throughout the delivery lifecycle.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI, or related technical field (Master’s preferred).
- 7+ years of experience in technical delivery, cloud engineering, or software development.
- Proven track record leading end-to-end delivery of AI, cloud, or software platforms.
- Strong understanding of Azure Cloud ecosystem, AI/ML pipelines, and DevOps practices.
- Hands-on technical foundation — able to engage with engineers on architecture, code reviews, and system design.
- Excellent leadership, stakeholder management, and communication skills.
- Certifications in Azure, AI/ML, or DevOps are an advantage.
Technical Exposure
Candidates should have strong familiarity with modern cloud, AI/ML, and DevOps ecosystems, ideally having grown through an engineering background before moving into management.
- Languages: Python, C#, TypeScript
- AI/ML: Azure ML, Azure OpenAI, MLflow, LangChain, AutoGen, CrewAI, Agentic Orchestration
- Cloud (Azure): Azure Functions, AKS (Kubernetes), App Services, Data Lake, Synapse, Databricks, Snowflake
- DevOps: Azure DevOps, GitHub Actions, Docker, Terraform
- Data: SQL, Cosmos DB, Data Factory
- Frontend (if applicable): React, Next.js
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the company community.
What Working At the company Offers
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
