AI Solutions Architect

Solution architects (SAs) focus on helping customers deliver AI solutions. Our Solution Architects are passionate technologists with technical breadth and depth and strong interpersonal skills. · Participate in the overall architecture design of AI-related solutions. · Explore the implementation issues of AI application. · Improve and plan solutions for different needs. Requirements · Strong interest and experience in machine learning. · Interest and ability to understand and deliver cloud-based solutions to customers. · Experience in innovating in one of the sub-application areas of machine learning (e.g. NLP, CV, Speech). Experience building systems for AI/ML projects related to computer vision and natural language processing. · Written and verbal communication skills to effectively explain technical challenges and solutions. · Fluent English skills.

We are seeking a seasoned Payment Hub SME to lead the transformative Payment Hub initiative for our prestigious banking client. This vital techno-functional role requires an expert with extensive experience in Payment Hub implementations, specifically within environments utilizing major banking systems such as T24, Intellect, and Murex. The ideal candidate will combine deep technical expertise with strategic business insights, driving operational excellence and fostering innovation to enhance the bank’s global operations. Note: We are looking for candidates who can join immediately. Key Responsibilities: Strategic Implementation & Leadership: Drive the Payment Hub program’s strategic execution, aligning technical solutions with the client bank’s operational and strategic goals. Lead the implementation roadmap to deliver innovative and efficient payment solutions. Service Integration: Ensure seamless integration of the Payment Hub into the banking infrastructure, leveraging expertise in systems such as T24, Intellect, and Murex. Optimize system efficiency to achieve enhanced functionality and operational excellence. APIs and Interface Expertise: Design and implement robust APIs and interfaces adhering to ISO20022 standards, ensuring smooth MT to MX migration and efficient straight-through processing (STP) across banking systems. Agile Methodology Adoption: Apply agile methodologies to ensure flexibility, iterative development, and timely delivery of project milestones, adapting swiftly to challenges. Stakeholder & Vendor Collaboration: Act as the chief liaison between internal teams, external vendors, and stakeholders, ensuring alignment and successful execution across the bank’s international footprint. Skills and Qualifications: Proven Experience: 15+ years of overall experience in financial technology and banking, with at least 10 years in payment system implementations. Leadership in two or more Payment Hub projects, with a proven track record of deploying top-tier solutions and managing complex financial architectures. Payment Schemes Expertise: Extensive knowledge of UAE payment schemes, including instant payments and RTGS systems, with a demonstrated ability to develop solutions tailored to regional banking needs. Techno-Functional Proficiency: Expertise in ISO20022, MT to MX migration, APIs, STP, and regulatory landscapes relevant to the UAE and other key markets. Strategic Project Leadership: Demonstrated ability to lead techno-functional teams, execute strategic initiatives, and deliver high-impact results in collaboration with stakeholders. Advanced Communication Skills: Strong ability to communicate effectively with senior executives, including the Head of Payments, and foster collaboration across diverse groups. Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field. Professional certifications in project management, payment systems, or Agile methodologies are highly 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.

Apt Resources is seeking an experienced Big Data Engineer for a government client in Abu Dhabi. You will design and implement large-scale data solutions to support AI/ML initiatives and public sector digital transformation. Key Responsibilities: Data Pipeline Development: Build robust data pipelines using Python, SQL/NoSQL, and Airflow Develop ETL/ELT processes for structured/unstructured data Manage data lakes and optimize storage solutions Data Infrastructure: Design efficient data models for analytics Implement data governance and quality frameworks Work with cloud-based data platforms (Azure preferred) AI/ML Support: Prepare and process datasets for machine learning applications Collaborate with ML teams on feature engineering Requirements 10-12 years of hands-on big data experience Expertise in: Python and SQL/NoSQL databases Airflow for workflow orchestration ETL/ELT pipeline development Cloud data platforms (Azure, AWS, or GCP) Benefits To be discussed

We are seeking an experienced Red Hat Project Manager to lead and oversee projects related to Red Hat OpenShift, OpenStack, and cloud infrastructure. This role involves managing project timelines, coordinating cross-functional teams, and ensuring successful implementation of Red Hat solutions. The ideal candidate should have a strong technical background in cloud technologies, excellent leadership skills, and experience with Agile methodologies. Key Responsibilities: Lead the planning, execution, and delivery of Red Hat OpenShift/OpenStack projects. Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders. Manage project risks, dependencies, and mitigation strategies. Ensure alignment with business objectives and IT strategies. Collaborate with architects, engineers, and DevOps teams to drive project success. Develop and maintain project documentation, including reports, roadmaps, and status updates. Allocate resources effectively and track project budgets. Implement and oversee Agile/Scrum practices for project management. Coordinate with vendors, partners, and third-party service providers. Facilitate communication between technical and non-technical stakeholders. Ensure compliance with security, governance, and best practices. Required Skills & Qualifications: Bachelor’s degree in Computer Science, IT, or a related field. 5+ years of experience in project management, particularly in IT and cloud infrastructure. Strong knowledge of Red Hat OpenShift, OpenStack, Linux environments, and Kubernetes. Experience with cloud computing, containerization, and DevOps methodologies. Proficiency in project management tools (e.g., JIRA, Trello, MS Project, Asana). Strong leadership, organizational, and problem-solving skills. Familiarity with CI/CD pipelines, automation tools, and hybrid cloud environments. Experience working with Agile and Scrum methodologies. Red Hat Certifications (e.g., Red Hat Certified Specialist in OpenShift, Red Hat OpenStack Administrator) are a plus. PMP, PRINCE2, or Agile certifications are preferred.

Staff4Me is currently seeking a dedicated and experienced Break-fix Engineer to join our team. As a Break-fix Engineer, you will be responsible for providing technical support and resolving hardware and software issues for our clients. You will work closely with our clients and cross-functional teams to diagnose and fix problems in a timely manner. Responsibilities Work as a coordinator on the Break-Fix team Review the assigned ticket to identify how the Break- Fix team can assist in resolutuon Review all the open tickets to identify any other issues that can be solved with the same dispatch Create a BAP/Platform One Order following the UBF process Generate a work order and submiy to the contractor pool Adjust the urgency, description and pricing of each work order to ensure prompt acceptance and technician has been assigned Once a technician has been assigned 1.Call technicians to confirm he/she has the skills an tools required 2,Confirm date and time has been dispatch 3,Confirm pricing 4,Confirm the name of the resource and contact information Coordinate a remote technical resource to assist the on-site technician using our booking/scheduling tools 1,Update the appointment and ticket as needed Communicate scheduling updated to both residents, property staff and contractors Communicate technical updated to both residents, property staff and stakeholders. Collaborate with on-site resources to ensure proper ticket documentation and resolution Follow up with on-site resources to confirm attendance and resolution 1,Add troubleshooting or other notes to the ticket and close or reassigne where appropriate 2,Reschedule on-site appointment as necessary Requirements 3-5 years of experience as a Break-fix Engineer or similar role. Ruckus, cisco and HP experience is preferred. Strong technical knowledge of hardware components, software applications, and networking. Hands-on experience in troubleshooting hardware and software issues. Knowledge of operating systems such as Windows and macOS. Experience in performing hardware repairs and replacements. Good understanding of network protocols and configurations. Ability to effectively communicate technical information to non-technical users. Excellent problem-solving and multitasking skills. Professional certifications such as CompTIA A+, Network+, or MCP are a plus.