AI Stack Development Lead

Envision Employment Solutions

. Own the solution design and technical roadmap for the AI stack on Microsoft Fabric, integrated with Azure AI Foundry and Azure OpenAI .

Posted 10/6/2026full-timeNew Cairo City • EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI solution design and governance, with a strong focus on Microsoft Fabric and Azure AI integration. Proven ability to lead teams, manage AI/ML delivery, and enforce cost governance in enterprise environments.

Highest-signal resume keywords

Microsoft Fabric ExpertiseAI/ML Delivery in EnterpriseData Governance with CollibraModel Rationalisation and Cost GovernanceTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAI Development GuidelinesMLOps PlatformsData IntegrationToken Consumption GovernanceProduction AI/ML DeliveryData ScienceAdvanced AnalyticsLow Code Development

Soft Skills

LeadershipMentoringCommunicationCollaborationProblem-Solving

Tools & Technologies

Microsoft FabricAzure AI FoundryAzure OpenAIDataikuDatabricksCollibraInformaticaMicrosoft Copilot StudioSAP S/4HANACognite Data Fusion

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred

Industry Keywords

AI GovernanceMLOpsData GovernanceFinOps for AINIST AI RMFISO/IEC 42001EU AI ActSemantic KernelLangChainLangGraph

Tech Stack

Tools & technologies

AzureInformaticaPythonSQL

About the role

Key responsibilities & impact

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 data governance foundations for AI with tools such as Collibra or Informatica, covering cataloguing, lineage, quality and master data
Define AI development guidelines and responsible AI standards across the full lifecycle of models and agents
Lead model selection and rationalisation, weighing 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
Champion 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

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering or similar; a Master's is preferred
12+ years in data and AI, including 5 to 8 years hands on in AI, machine learning or advanced analytics
Production AI/ML delivery in enterprise, industrial or manufacturing environments
Deep, hands on Microsoft Fabric expertise (Data Factory, OneLake, Lakehouse, Synapse Data Science, Real Time Intelligence, Power BI)
Experience with Dataiku, Databricks, Azure Machine Learning or similar, plus Collibra or Informatica
Hands on Microsoft Copilot Studio experience
Proven 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
Knowledge of Semantic Kernel, LangChain/LangGraph or MCP based tool integration is highly desirable
Strong Python and SQL
At least 4 to 5 years leading or mentoring technical teams