Manager AI Software Engineering

About the job

Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.

Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 284+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.

For the Good of Tomorrow

Dubai Holding is looking to hire a Manager AI Software Engineering at the corporate office, reporting to the Associate Director Software Engineering. The job holder is responsible for designing, building, deploying, and operating production-grade AI agents on Microsoft Foundry – LLM-powered systems that reason, use tools, and orchestrate multi-step workflows against enterprise data and services. This is a hands-on, pro-code role: the engineer writes Python, integrates Azure services, and ships agentic applications that drive measurable business impact. The engineer works within agile teams alongside Product, Data Science, and Architecture to take agent use-cases from prototype to production, ensuring solutions are reliable, performant, and continuously improved.

The role is responsible for technical delivery of AI solutions and does not own product priorities, which are defined by Product Managers.

Key Responsibilities:

AI Solution Design & Development

• Design, build, and iterate AI agents using Microsoft Foundry, leveraging its agent framework, model catalogue, and tool/function-calling capabilities
• Implement AI solutions in Python, incorporating LLM application patterns such as RAG, tool use, structured outputs, memory, and multi-agent orchestration
• Integrate AI agents with Palantir Foundry via MCP (Model Context Protocol) to access enterprise data and execute ontology-driven actions
• Translate product requirements into scalable technical designs aligned to defined use cases

Deployment & Productionisation

• Deploy AI agent solutions into production environments using CI/CD pipelines, including automated evaluations as release gates
• Manage versioning of code, prompts, tools, and agent configurations to ensure controlled and repeatable releases
• Configure and optimize agent architectures, prompts, and tooling to meet performance, cost, and latency targets
• Ensure solutions are production-ready, scalable, and aligned to enterprise delivery standards

Operation & Service Reliability

• Operate AI agents in production, including observability, tracing, cost monitoring, regression testing, and incident response
• Monitor system performance and reliability, addressing issues related to latency, cost efficiency, and output quality
• Maintain secure handling of enterprise data, including authentication, authorization, and secret management using Azure services (Key Vault, Entra ID)

Platform Integration & Engineering

• Integrate AI applications with Azure services including Azure OpenAI, AI Search, Storage, Functions, Container Apps, and identity services
• Build and maintain scalable architecture patterns for agent-based applications across cloud platforms
• Contribute to reusable components, shared libraries, and standardized engineering practices across squads

Evaluation & Continuous Improvement

• Build and maintain evaluation harnesses and guardrails covering groundedness, safety, latency, and cost
• Analyze system performance and iterate on prompts, tools, and architectures based on measured outcomes
• Continuously i