Manager AI Software Engineering

About The Job

Manager Ai Software Engineering

*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 improve AI solutions based on user feedback, production data, and delivery insights
• *Cross-Functional Delivery*
• Work within agile product squads alongside Product Managers, Data Scientists, and Architects to deliver AI use cases from prototype to production
• Communicate technical trade-offs (model selection, latency, cost, accuracy) clearly to technical and non-technical stakeholders
• Support alignment between engineering delivery and product priorities, ensuring timely and effective execution
• 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 And 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
• As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
• This job description is not all inclusive.
• Dubai Holding reserves the right to amend this job description at any time.
• Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.