About this role
Senior Manager – AI Solution Architect We are looking for an experienced Senior Manager – AI Solution Architect to join our growing MENA Technology Consulting team in Egypt, and lead the architecture and delivery of enterprise AI, GenAI and Agentic AI solutions across Egypt and MENA.
Key Responsibilities
- Lead architecture of enterprise AI/ML, GenAI and Agentic AI solutions, from design through production deployment.
- Design RAG, vector-data, knowledge graph, semantic layer and unstructured-data architectures.
- Architect scalable training, validation and inference pipelines, feature stores and intelligent document-processing solutions.
- Define and govern MLOps, LLMOps and GenAIOps architectures and practices.
- Establish Responsible AI, model monitoring, evaluation, data/model lineage and governance controls.
- Advise senior stakeholders on AI architecture, technology choices, scalability and production readiness.
- Lead solutioning, proposals, RFP responses and business development for AI opportunities.
- Provide architecture leadership and mentoring across multidisciplinary Data & AI teams.
Qualifications
- Strong experience in AI/ML Solution Architecture, Data Science, ML Engineering or GenAI architecture, with demonstrated leadership responsibility.
- Proven experience architecting and delivering enterprise-scale AI/ML and GenAI solutions.
- Strong understanding of the end-to-end AI lifecycle, from data and feature engineering through model deployment, monitoring and operations.
- Strong client-facing, C-suite communication and stakeholder-management capabilities.
- Industry experience, preferably across Financial Services, Government & Public Sector, Energy & Utilities, Telecom, Consumer & Retail, or Real Estate & Infrastructure.
- Prior Big Four, consulting, system integration or technology consulting experience is highly preferred.
- Experience across Egypt/MENA and readiness to travel across the MENA region based on client needs.
- Skills Required AI Platforms: Azure AI/Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI, Databricks Mosaic AI, IBM watsonx and Hugging Face.
- GenAI & Agentic AI: LLMs/SLMs, RAG & Graph RAG, AI Agents, Multi-Agent systems, knowledge graphs, vector databases and orchestration frameworks.
- Advanced AI: Computer Vision, multimodal AI, OCR/Document AI, conversational AI, predictive AI, optimization and real-time decisioning.
- Complex AI Solutions: Robotics, AI-enabled automation, Human-in-the-Loop solutions, and integration of AI with enterprise and operational systems.
- Responsible AI: Responsible AI architecture and solutions covering AI governance, explainability, fairness/bias controls, privacy, safety guardrails, human oversight, model risk, auditability and AI monitoring.
- AI Engineering: PyTorch, TensorFlow, feature stores, training/inference pipelines, APIs and enterprise integration.
- AI Operations: MLOps, LLMOps & GenAIOps, model serving, evaluation, observability, monitoring and data/model lineage.
- Infrastructure: Cloud, hybrid and on-premise AI architectures, Kubernetes, Docker and GPU-enabled AI infrastructure.
If you are passionate about transforming AI concepts into secure, scalable and production-grade enterprise solutions, we would love to hear from you.