Senior Solutions Architect - Data and Artificial Intelligence

About CyberKnight Technologies

CyberKnight Technologies is a value-added distributor specializing in cybersecurity solutions, servicing enterprise and government clients across the Middle East and Africa. It employs the Zero Trust Security (ZTX) framework from Forrester to enhance protection over entire attack surfaces by integrating advanced AI, threat intelligence, and collective defense technologies. The firm focuses on simplifying breach detection, prevention, incident management, and ensuring regulatory compliance while accelerating market reach and optimizing returns for its strategic partners. Employees engage with innovative cyber and AI technologies within a collaborative and growth-driven environment.

Role Overview

The Senior Solutions Architect for Data and Artificial Intelligence is a full-time position based onsite in Riyadh. This role centers on creating and validating comprehensive data and AI architectures tailored for enterprise and governmental clients. The architect ensures alignment of technical solutions with business needs and cybersecurity mandates by conducting discovery sessions, evaluating client environments, establishing reference architectures, and generating thorough solution proposals and technical documents.

The position includes executing proofs-of-concept, demonstrations, and technical workshops in close partnership with sales teams, vendors, and clients to facilitate successful implementation of AI and data solutions. Staying updated on the latest technologies and contributing to the development of best practices are essential. Mentoring colleagues about data, AI, and security-by-design is a critical responsibility.

Key Responsibilities

• Lead discovery and assessment sessions to understand client requirements and environments.
• Define and develop reference and end-to-end AI and data architectures.
• Create detailed solution designs, proposals, and technical documentation.
• Conduct proofs-of-concept, product demonstrations, and workshops tailored to diverse audiences.
• Collaborate closely with sales, vendor partners, and client stakeholders to advance solution adoption.
• Remain current with emerging technologies, frameworks, and cybersecurity standards.
• Promote best practices and provide mentorship on data, AI, and secure design principles.

Required Qualifications and Skills

• Extensive experience with data architecture including data lakes, warehouses, ETL/ELT pipelines, and real-time processing.
• Practical knowledge in AI and machine learning encompassing model design, training, deployment, and MLOps within security, analytics, or enterprise contexts.
• Solid understanding of cloud platforms, distributed systems, containerization, microservices, and their integration with data and AI technologies.
• Familiarity with cybersecurity frameworks, including Zero Trust models, secure data management, and compliance-focused designs.
• Ability to facilitate technical discovery, requirements analysis, and solution-focused workshops.
• Experience delivering technical proofs-of-concept, product demos, and enablement sessions for both technical and non-technical audiences.
• Excellent skills in documentation and presentation with the capability to clearly communicate complex technical concepts.
• Proven collaboration skills with sales, presales, and vendor teams to support opportunity qualification and solution positioning.
• Possession of a Bachelor's degree.