AI and Data Architect

Company Description Fundamentl focuses on finding top tier talent for organizations globally in the Finance, Manufacturing, Logistics, Utilities, and Energy sectors. We are seeking an experienced AI & Data Architect for a long-term contract with 18+ years of experience to define and drive enterprise AI and data architecture strategies that enable Generative AI, Agentic AI, advanced analytics, and digital transformation initiatives. The role is responsible for designing scalable, secure, and governed AI and data platforms while ensuring alignment with business objectives, enterprise architecture standards, and regulatory requirements. Key Responsibilities · Define enterprise AI and data architecture roadmaps, reference architectures, standards, and reusable solution patterns. · Design scalable GenAI, Agentic AI, RAG, data lakehouse, analytics, and AI-ready data platform solutions. · Establish governance for AI, data quality, metadata, lineage, security, privacy, responsible AI, and regulatory compliance. · Enable AI, ML, search, analytics, and business use cases through modern data platforms, pipelines, vector databases, and integration frameworks. · Lead architecture reviews and collaborate with business, engineering, data, cloud, security, and enterprise architecture teams. Core Technical Expertise Core AI Expertise • Generative AI, LLMs, Prompt Engineering, Context Engineering, RAG, Enterprise Search, Embeddings, and Vector Search. • Agentic AI, Multi-Agent Systems, AI Agents, Planning, Routing, Memory, State Management, Tool Calling, MCP, and A2A. • ML, Deep Learning, LLM Evaluation, AI Guardrails, Responsible AI, MLOps, and LLMOps. Core Data Expertise • Data Lake, Lakehouse Architecture, Data Mesh, Data Platform Architecture, Data Engineering, and Analytics. • ETL, ELT, CDC, Batch Processing, Real-Time Streaming, Data Governance, Data Quality, Metadata, Lineage, and Catalog. • Data Security, Privacy, Compliance, Enterprise Data Modeling, and AI-ready data foundation design. Technology Stack • Azure / Data: Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Delta Lake, Unity Catalog, Azure Synapse, Azure AI Search, and Azure Event Hubs. • AI / ML: Azure AI Foundry, Azure OpenAI, OpenAI, AWS Bedrock, Gemini, MLflow, LangChain, LangGraph, LlamaIndex, Pinecone, Qdrant, and FAISS. • Engineering & Cloud: Python, Java, Spring Boot, Microservices, REST APIs, Event-Driven Architecture, Kafka, Kubernetes, Docker, Terraform, and CI/CD. Other Requirements • Fluent in English • This role requires existing eligibility to work across EU member states; we are not able to provide visa sponsorship for this position • Must currently hold a valid UAE residence visa (own sponsorship, spouse/family sponsorship, or freelance permit) that can be transferred without a new labor sponsorship application • Ability to work onsite in Dubai as part of a hybrid role. • Ability to travel (15 to 25%) Show more Show less

18+ years of experience in AI and data architecture. Fluent in English. This role requires eligibility to work across EU member states; visa sponsorship is not provided. Must currently hold a valid UAE residence visa (own sponsorship, spouse/family sponsorship, or freelance permit) that can be transferred without a new labor sponsorship application. Ability to work onsite in Dubai as part of a hybrid role. Ability to travel 15-25%.

Define enterprise AI and data architecture roadmaps, reference architectures, standards, and reusable solution patterns. Design scalable GenAI, Agentic AI, RAG, data lakehouse, analytics, and AI-ready data platform solutions. Establish governance for AI, data quality, metadata, lineage, security, privacy, responsible AI, and regulatory compliance. Enable AI, ML, search, analytics, and business use cases through modern data platforms, pipelines, vector databases, and integration frameworks. Lead architecture reviews and collaborate with business, engineering, data, cloud, security, and enterprise architecture teams.