About The Role As a GCP Presales Engineer, you'll be a key player in driving business growth by leveraging your technical expertise and customer-facing skills. You'll work closely with the sales team to identify, qualify, and develop opportunities for Google Cloud Platform (GCP) services. You will work closely with the sales, product, and solution architecture teams to understand customer requirements, identify challenges, and propose tailored GCP solutions that deliver measurable business value. In this role, you will also collaborate with CXOs and decision-makers on the customer side, helping them align their cloud adoption strategy with organizational goals. Key Responsibilities Understand customer business / technical & commercial expectations. Can design solutions to meet the customer's business & commercial needs. Do customer presentations and whiteboard sessions to present solutions to customers. - Evangelize cloud technologies with customers. Ability to craft and articulate enterprise wide strategic cloud computing solutions. Deep engagement with the sales team for winning opportunities. Coordinate with the operations team to deliver solutions as outlined in the proposal. Build a technical relationship with delivery teams, prospects, or existing customers to support overall prospect/customer engagement. Qualifications The right person will be highly technical and analytical with solution architecture (implementation/ consulting) experience. Experience architecting or deploying Cloud solutions in enterprise customers. Solid and deep understanding of traditional On-premise IT infrastructure and should be able to map to cloud services. Participated in RFI/RFP process, developed technical aspects of proposals aligned to customer requirements. Engineer complex Bids/RFPs underpinned by service and solutions. Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations GCP Associate Engineer Certification would be preferred (ref:hirist.tech)
Role Overview Work location - Saudi (Riyadh) We are seeking a highly skilled Cybersecurity compliance engineer to design, develop, and implement a comprehensive Cybersecurity Program across three entities operating and maintaining power generation and desalination plants. The role requires ensuring compliance with Saudi Arabian cybersecurity frameworks for both IT and OT environments, including NCA Essential Cybersecurity Controls (ECC), Operational Technology Cybersecurity Controls (OTCC), and other relevant regulations. Key Responsibilities ● Conduct site assessments for IT and OT systems across all three entities. ● Design and implement a Cybersecurity Program aligned with KSA national frameworks (NCA ECC, OTCC). ● Develop policies, procedures, and governance structures for cybersecurity compliance. ● Perform risk assessments, vulnerability analysis, and penetration testing for IT and OT systems. ● Implement incident response plans, disaster recovery strategies, and business continuity measures. ● Ensure secure integration of IT and OT systems, including SCADA, ICS, and critical infrastructure. ● Provide training and awareness programs for staff on cybersecurity best practices. ● Prepare compliance reports and liaise with regulatory authorities as required. Travel Requirement Travel to three operational entities within Saudi Arabia. Preferred Skills ● Experience with Saudi regulatory compliance and critical national infrastructure security . ● Ability to develop cybersecurity roadmaps and maturity models . ● Knowledge of cloud security and third-party risk management . Required Qualifications & Skills ● Education: Bachelor’s degree in Computer Science, Information Security, or related field (Master’s preferred). ● Certifications: CISSP, CISM, GICSP, or equivalent. ● Experience: o Minimum 7+ years in cybersecurity, with at least 3 years in OT security for critical infrastructure. o Proven experience in energy, utilities, or industrial control systems . ● Technical Expertise: o Knowledge of NCA ECC , OTCC Cybersecurity Framework . o Strong understanding of ICS/SCADA security , network segmentation, and industrial protocols. o Familiarity with SIEM tools, firewalls, IDS/IPS, and endpoint protection . ● Soft Skills: Strong communication, stakeholder management, and ability to work across multiple sites.
Role Purpose / Summary: ** As a Senior AI/ML Engineer, you will be at the core of the Brio AI Factory, responsible for the hands-on development, training, and deployment of advanced artificial intelligence and machine learning models. You will implement the technical vision set by the Solutions Architect, building the high-performance AI components that power large-scale use cases and drive innovation. Key Responsibilities: ** • Develop, train, and fine-tune advanced AI/ML models, including LLMs, VLLMs, and SLMs, for specific project requirements. • Implement complex retrieval-augmented generation (RAG) systems, leveraging both knowledge bases and graph data structures. • Design and implement sophisticated prompts and agentic AI workflows to create intelligent, autonomous systems. • Write clean, production-grade Python code for model development, data processing, and API creation. • Collaborate closely with Data Engineers to build and optimize data pipelines for model training and inference. • Work with DevOps Engineers to containerize (Docker), deploy (Kubernetes), and monitor models within a CI/CD and MLOps framework. • Participate actively in an agile team, contributing to sprint planning, daily scrums, and code reviews to ensure timely delivery of high-quality AI features. Required Technical Skills: ** • Expertise in Visual Large Language Models (VLLMs), Large Language Models (LLMs), and Small Language Models (SLMs). • Deep understanding and practical experience with Knowledge RAG and Graph RAG patterns. • Advanced skills in Prompt Engineering, Model Fine-tuning, and Model Distillation. • Proficiency with Vector Databases (e.g., Pinecone, Milvus) and Graph Databases (e.g., Neo4j). • Experience in designing and building Agentic AI Models and multi-agent systems. Preferred Skills / Tools / Frameworks: ** • Proficiency with core Python data science libraries (e.g., Pandas, NumPy, Scikit-learn). • Experience with deep learning frameworks such as PyTorch or TensorFlow. • Familiarity with AI/ML platforms and tools on Azure (Azure Machine Learning, Azure OpenAI). • Experience with MLOps tools like MLflow for model tracking and lifecycle management. Experience Level: ** • 7 to 9 years in a hands-on software engineering or data science role, with a primary focus on building and deploying AI/ML models. Education: ** • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. A Master's degree is preferred.