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Envision Employment Solutions

AI Stack Development Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNew Cairo City, Cairo Governorate, EgyptNo salary listedHybrid

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Data Science, Engineering, or a similar field is required; a Master's degree is preferred.
  • At least 12 years of experience in data and AI, including 5 to 8 years of hands-on experience in AI, machine learning, or advanced analytics.
  • Experience delivering AI or machine learning solutions in production in enterprise, industrial, or manufacturing environments.
  • Deep hands-on expertise in Microsoft Fabric, including Data Factory, OneLake, Lakehouse, Synapse Data Science, Real Time Intelligence, and Power BI.
  • Experience with Dataiku, Databricks, Azure Machine Learning, or similar platforms, plus Collibra or Informatica.
  • Hands-on experience with Microsoft Copilot Studio.
  • Experience with LLM cost governance, token monitoring, and model rationalisation (FinOps for AI).
  • Experience integrating AI with SAP and industrial platforms such as Cognite.
  • Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001, or the EU AI Act.
  • Strong Python and SQL skills.
  • At least 4 to 5 years of experience leading or mentoring technical teams.

Responsibilities

  • Own the solution design and technical roadmap for the AI stack on Microsoft Fabric, integrated with Azure AI Foundry and Azure OpenAI.
  • Evaluate and integrate data science and MLOps platforms such as Dataiku, Azure Machine Learning, or Databricks.
  • Build AI data-governance foundations with tools such as Collibra or Informatica, covering cataloguing, lineage, quality, and master data.
  • Define AI development guidelines and responsible AI standards across the lifecycle of models and agents.
  • Lead model selection and rationalisation, balancing LLMs and SLMs on capability, latency, and cost.
  • Set and enforce token-consumption and cost governance, including budgets, dashboards, chargeback, and optimisation.
  • Own standards and governance for Microsoft Copilot Studio agents alongside Fabric- and Azure-based agents.
  • Design integrations between AI solutions and SAP (S/4HANA, Datasphere), Cognite Data Fusion, and other OT/IT platforms.
  • Promote everyday AI adoption through Microsoft 365 Copilot and low-code agent builders within agreed guardrails.
  • Present architecture decisions, costs, and value delivered to executive forums.
  • Lead, mentor, and grow a small team of engineers and developers.

Desired Qualifications

  • Knowledge of Semantic Kernel, LangChain/LangGraph, or MCP-based tool integration is highly desirable.

About the Company

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