AI & Analytics - AI Architect - Freelance - Cairo

About UsInfomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona)Our proprietary AI orchestratorExtensive knowledge assets combining 500,000+ delivered case studies and database subscriptionsReady to kick start your career with us?About This RoleThis role will give you the opportunity to design and shape the technical foundation of our Analytics & AI practice, working on high-impact client engagements across industries. As our Analytics & AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI — defining the standards, frameworks, and architectures that our teams build upon.What will you do?Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment:ARCHITECTURE & DESIGNDesign end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelinesDefine standards for data modeling, storage, ingestion, and transformation across client engagementsArchitect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring)Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source toolingTEAM ENABLEMENTDefine best practices and reusable frameworks for data engineers, analysts, and data scientistsAct as a technical mentor and reviewer for cross-functional project teamsBridge the gap between data analysts, data engineers, and AI/ML engineers on complex projectsContribute to internal knowledge base, toolkits, and delivery acceleratorsCLIENT ENGAGEMENTLead architecture workshops and discovery sessions with client stakeholdersTranslate business requirements into scalable, robust technical blueprintsPresent architecture decisions to both technical teams and executive audiencesSupport pre-sales and proposal efforts with technical scoping and solution designOtherProvide internal training and knowledge-sharing sessions with the teamSupport the Head of Practice on business development and internal capability initiatives. Who are you?Education & Professional ExperienceMaster's degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related fieldFull proficiency in English + 1 additional language (French, Arabic, Spanish, German...)6+ years of technical experience in data architecture or a closely related fieldProven track record in a consulting or multi-client services environmentTechnical SkillsDATA ARCHITECTURE & PLATFORMSProven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift)Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformationExperience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalentFamiliarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming)AI & ML INFRASTRUCTUREProven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalentExperience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detectionExposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines)DATA ENGINEERING & DEPLOYMENTProven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalentProven hands-on experience with container technologies: Docker, KubernetesProven hands-on experience with versioning software: Git, GitHub, GitLabProven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google CloudGOVERNANCE & STANDARDSKnowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality managementExposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer designInterpersonal SkillsAbility to step back, analyze complex problems, define architectural options, and drive decisionsStrong ability to work and collaborate with a variety of stakeholders across technical and business functionsExcellent communication skills with the ability to translate complex technical architectures into clear business implicationsHigh autonomy, attention to detail, and ability to manage multiple client engagements simultaneouslyWhat We OfferA competitive salaryA great working environmentA steep learning curve with interesting and diverse topics to work onA healthy work-life balanceHealth insurance benefitsEqual opportunity employerInfomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).If you believe you match our requirements and values, we would be happy to hear from you. 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