Manager AI Software Engineering
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Key skills for this role
About the Role
Dubai Holding seeks a hands-on Manager AI Software Engineering to design, build, and deploy production-grade AI agents on Microsoft Foundry. The role requires strong Python skills, experience with LLM application patterns, and Azure services integration.
Key Skills for This Role
Responsibilities
- Design, build, and iterate AI agents using Microsoft Foundry
- 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 to access enterprise data
- Deploy AI agent solutions into production using CI/CD pipelines with automated evaluations
- Manage versioning of code, prompts, tools, and agent configurations
- Configure and optimize agent architectures, prompts, and tooling to meet performance, cost, and latency targets
- Operate AI agents in production including observability, tracing, cost monitoring, regression testing, and incident response
- Integrate AI applications with Azure services including Azure OpenAI, AI Search, Storage, Functions, Container Apps, and identity services
- Build and maintain evaluation harnesses and guardrails covering groundedness, safety, latency, and cost
- Work within agile product squads alongside Product Managers, Data Scientists, and Architects to deliver AI use cases from prototype to production
Requirements
- 2+ years of experience deploying agentic AI systems
- Software engineering experience with hands on production experience building LLM based/agentic systems (tool use, orchestration, RAG, evals)
- Bachelor's degree in computer science, Engineering, or related quantitative field
- Strong Python skills
- Microsoft Foundry experience strongly preferred
- Azure exposure (Azure OpenAI, AI Search, identity, storage, serverless compute)
- Deep working knowledge of LLM application patterns: tool/function calling, structured outputs, RAG, memory, multi agent orchestration
- Experience with evaluation frameworks and observability for LLM systems
- DevOps fundamentals: Git, CI/CD, containers, infrastructure as code
Full Job Posting
About the job
- Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals.
- Dubai Holding is looking to hire a Manager AI Software Engineering at the corporate office, reporting to the Associate Director Software Engineering.
Key Responsibilities
- 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
- 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
- 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)
- Integrate AI applications with Azure services including Azure OpenAI, AI Search, Storage, Functions, Container Apps, and identity services
Who we are looking for
- 2+ years of experience deploying agentic AI systems
- Software engineering experience with hands on production experience building LLM based / agentic systems (tool use, orchestration, RAG, evals)
Education / Professional Certifications
- Bachelor’s degree in computer science, Engineering, or related quantitative field
- Advanced degrees preferred
Technical Competencies
- Strong Python — idiomatic, typed, tested; comfortable with async and modern packaging
- Proven experience building production AI agents in code (e.g. Microsoft Foundry / Azure AI Foundry, Semantic Kernel, AutoGen, LangGraph, LlamaIndex, OpenAI Agents SDK, or equivalent custom frameworks)
- Microsoft Foundry experience is strongly preferred (agent authoring, model catalog, connectors, deployment)
- Azure exposure — Azure OpenAI, AI Search, identity, storage, serverless compute; familiarity with Azure DevOps or GitHub Actions
- Deep working knowledge of LLM application patterns: tool/function calling, structured outputs, RAG, memory, multi agent orchestration
- Experience with evaluation frameworks and observability for LLM systems (tracing, prompt/response logging, automated evals)
- DevOps fundamentals: Git, CI/CD, containers, infrastructure as code; exposure to data engineering and vector stores is a plus
Behavioral Competencies
- Strong ownership and accountability for delivering high quality technical solutions
- Structured problem solving and analytical capability
- Ability to collaborate effectively within cross functional delivery teams
- Clear communication of technical concepts and trade offs
- Adaptability in fast paced and evolving delivery environments
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