Senior Solutions Architect Data And Artificial Intelligence

Company Description CyberKnight Technologies is a cybersecurity-focused value-added distributor (VAD) serving enterprise and government customers across the Middle East and Africa, with on-the-ground presence in key regional markets. The company applies a Zero Trust Security (ZTX) methodology, based on the Forrester framework, integrating emerging and market-leading solutions that protect the entire attack surface. By leveraging AI, threat intelligence, and collective defense, CyberKnight helps security and risk teams simplify breach detection, prevention, and incident response, while supporting regulatory compliance. Its “Art of Cybersecurity Distribution” methodology enables strategic partners to accelerate market penetration, maximize return on investment, and reduce time-to-value. Professionals joining CyberKnight can expect to work with cutting-edge cybersecurity and AI technologies in a collaborative, growth-oriented environment.Role Description The Senior Solutions Architect Data and Artificial Intelligence is a full-time, on-site role based in Riyadh. This role designs and validates end-to-end data and AI architectures for enterprise and government customers, aligning technical solutions with business objectives and cybersecurity requirements. Responsibilities include leading discovery sessions, assessing customer environments, defining reference architectures, and producing high-quality solution designs, proposals, and technical documentation. The architect will conduct proof-of-concept engagements, demos, and technical workshops, collaborating closely with sales teams, vendor partners, and customer stakeholders to drive successful adoption of data and AI solutions. The role also involves staying current with relevant technologies and frameworks, contributing to best practices, and mentoring team members on data, AI, and security-by-design principles.Qualifications Strong expertise in data platforms and architecture, including experience with data lakes, data warehouses, ETL/ELT pipelines, and real-time data processing.Hands-on experience in AI and machine learning, such as model design, training, deployment, and MLOps, preferably in security, analytics, or enterprise use cases.Solid background in cloud technologies and distributed systems (e.g., major cloud providers, containerization, microservices) and their integration with data and AI solutions.Knowledge of cybersecurity principles and frameworks, including Zero Trust concepts, secure data handling, and compliance-oriented solution design. Proven ability to run technical discovery, requirements analysis, and solution workshops with customers and partners.Experience delivering proofs-of-concept, product demos, and technical enablement sessions for technical and non-technical audiences.Strong documentation and presentation skills, with the ability to communicate complex technical ideas clearly and concisely.Track record of collaborating with sales, presales, and vendor teams to support opportunity qualification and solution positioning. Bachelor