AI Solution Architect (SA)

Education Master or Bachelor’s degree in computer science, information systems management or related field. Solution and Architecture certifications such as TOGAF or other. Experiences More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations. Extensive experience in banking and financial services domain Knowledge & Skills Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.) Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins) Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)

We are hiring an IT technician with previous experience in the UAE construction industry. The candidate will be responsible for managing IT systems, installing and maintaining CCTV, smart home devices, and site network infrastructure, and providing technical support to office and project site staff. Key Responsibilities Install, configure, and maintain CCTV systems, access control, and smart home/automation devices for construction projects. Set up and maintain IT networks, servers, and Wi-Fi systems at office and project sites. Provide IT support for staff (hardware, software, printers, connectivity issues). Manage system backups, updates, and cybersecurity practices. Troubleshoot and resolve IT-related issues across multiple sites. Coordinate with vendors and suppliers for equipment procurement and installation. Maintain proper documentation for all IT assets, installations, and support activities. Ensure compliance with UAE regulations and construction site safety standards. Requirements 3–5 years’ UAE experience in IT support, ideally within a construction or contracting company. Hands-on experience in CCTV installation, smart devices, and low-voltage systems. Knowledge of networking (LAN/WAN), servers, routers, and firewalls. Strong troubleshooting and problem-solving skills. Ability to work independently and support multiple construction sites. Good communication skills in English (Arabic/Hindi/Urdu are an advantage). A valid UAE driving license preferred.

Role Overview We are looking for a Senior Data Platform Architect to design and lead the implementation of a scalable, secure, and modern enterprise data platform. This role is central to our mission to enable real-time insights, machine learning at scale, and data democratization across the business. You will architect end-to-end data ecosystems — from ingestion to access — while driving standards that ensure trust, governance, and performance across domains. What You’ll Own Platform Strategy & Architecture Define and lead the data platform strategy, aligning with analytics, AI/ML, and business intelligence goals. Architect scalable solutions including lakehouse models, event-driven pipelines, and multi-cloud storage strategies. Technical Leadership Guide engineering teams in building robust batch and streaming data pipelines using best-in-class tools and frameworks. Define reference architectures, blueprints, and guardrails to enable repeatable, secure, and performant platform components. Modern Stack Enablement Evaluate and implement tools across data orchestration, transformation, lineage, cataloging, and observability — e.g., Airflow, dbt, Delta Lake, Kafka, Snowflake, Databricks. Governance by Design Embed data privacy, lineage, and access control into the platform’s core — enabling compliance with GDPR, HIPAA, and industry regulations. Cloud-Native Infrastructure Design cost-efficient, elastic architectures on AWS, Azure, or GCP using infrastructure-as-code (Terraform, CDK, etc.) Cross-Functional Alignment Partner with analytics, product, and infrastructure leaders to ensure the platform meets current and future business needs. Mentorship & Scale Uplift engineering maturity across the team via design reviews, architecture clinics, and hands-on mentorship. Requirements 8+ years in data engineering, architecture, or platform leadership roles Proven experience architecting large-scale distributed data platforms in cloud environments Strong expertise in data lake/lakehouse, streaming, and warehouse architectures Hands-on familiarity with tools such as Spark, Kafka, dbt, Airflow, Delta Lake, and cloud-native storage & compute (e.g., S3 + EMR / BigQuery / Synapse) Solid understanding of data modeling, cataloging, versioning, lineage, and access controls Excellent communication skills — able to influence at both engineering and executive levels Bachelor's or Master’s in Computer Science, Data Engineering, or a related field Preferred Qualifications Cloud certification (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.) Experience deploying data platforms in regulated industries (banking, healthcare, public sector) Familiarity with data mesh, domain-driven design, or federated governance patterns Exposure to MLOps and integration of AI/ML workloads on data platforms Benefits Benefits & Growth Opportunities: ·       Competitive salary and performance bonuses ·       Comprehensive health insurance ·       Professional development and certification support ·       Opportunity to work on cutting-edge AI projects ·       International exposure and travel opportunities ·       Flexible working arrangements ·       Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

We are seeking a meticulous and organized Document Controller to manage and oversee our document management system. The Document Controller will be responsible for maintaining, organizing, and ensuring the accuracy and accessibility of important documents and records. This role requires excellent attention to detail, strong organizational skills, and the ability to work efficiently under deadlines Key Responsibilities: 1. Document Management: 1.1. Develop and maintain an efficient document control system to manage electronic and hard copy documents. 1.2. Ensure all documents are correctly classified, stored, and easily retrievable. 1.3. Monitor the status of documents and update tracking systems 1.4. Assist the team with proper stamping and seal requests as per process set by management. 1.5. Identify opportunities for process improvements and efficiency enhancements within the document control function, implementing solutions to optimize workflows. 2. Compliance and Quality Assurance: 2.1. Ensure all documentation complies with internal policies, regulatory requirements, and industry standards. 2.2. Conduct regular audits to ensure compliance and address any discrepancies. 2. Maintain version control and ensure the use of the latest document versions. 2.4. Maintain an organised filing system for both physical and electronic documents, ensuring compliance with company policies and procedures. Key Qualifications: • Bachelor’s degree in Business Administration, Engineering, or a related field is preferred.10 years of experience in document control, ideally in the construction, contracting or interior design industry. • Familiarity with document control standards and procedures in the construction industry. • Proficient in document control systems like Aconex, SharePoint, and EDMS. • Excellent organizational skills with attention to detail and accuracy. • Ability to manage large volumes of documents and maintain an organized filing system. Please send your cv at intelspacebchr(at)gmail.com

About the Role We’re looking for a AI Architect to join our growing AI delivery team. You’ll design and build large language model (LLM) systems that move beyond experimentation and into real-world production—powering search, summarization, knowledge assistants, and automation for enterprise clients. This is a hands-on, execution-focused role. You’ll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won’t be buried in research or building theoretical models—you’ll be deploying actual systems that users rely on every day. Requirements What You’ll Do Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant) Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind Collaborate with cross-functional teams—translating complex GenAI architectures into stable, maintainable features that support product delivery Write and review technical design documents and remain actively involved in implementation decisions Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift) What You’ll Bring Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents) Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs Experience with vector databases such as FAISS, Qdrant, or Pinecone Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization) A delivery mindset—you know how to balance speed, quality, and feasibility in fast-moving projects Nice to Have Experience building multi-tenant GenAI platforms Exposure to enterprise-grade AI governance and security standards Familiarity with multi-modal architectures (e.g., text + image or audio) Knowledge of cost-optimization strategies for LLM inference and token usage This Role Is Not For ML researchers focused on academic model development without delivery experience Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture Engineers who haven’t shipped GenAI products into production environments Benefits Benefits & Growth Opportunities: ·       Competitive salary and performance bonuses ·       Comprehensive health insurance ·       Professional development and certification support ·       Opportunity to work on cutting-edge AI projects ·       International exposure and travel opportunities ·       Flexible working arrangements ·       Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

Job title:- Typist salary:- 2000-3000 AED job type:- full time experience:- 6 months-1 year age preference:- 20-30 year old Location:- Al qiyadah, dubai Responsibilities:- tourist visa typing Airline ticket reservation payment & overstay follow up