Technical Delivery Manager

Overview

As a Technical Delivery Manager at Inception, 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.

The opportunity

As a Technical Delivery Manager, you’ll combine engineering acumen and delivery leadership — bridging technical depth with project management excellence to drive the execution of applied AI programs across industries.

Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsofts AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.

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 Inception community.

What Working At Inception 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.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

---