Solution Sr. Architect at الشركة الوطنية لخدمات الإسكان
Riyadh, Riyadh Region, Saudi Arabia -
Full Time


Start Date

Immediate

Expiry Date

11 Jul, 26

Salary

0.0

Posted On

12 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Artificial Intelligence, GenAI, Machine Learning, LLM Pipelines, Data Engineering, Data Governance, Technical Leadership, Mentoring, CI/CD, DevOps, System Architecture, Data Ingestion, Model Evaluation, Software Development, Strategic Planning

Industry

IT Services and IT Consulting

Description
Job Purpose: Drive the technical leadership and execution of AI/GenAI solutions within Maarifa by designing, building, and overseeing AI models and data pipelines, ensuring scalability, performance, and integration with ministry systems. This role will also mentor AI engineers, establish coding and testing standards, and collaborate with product and business stakeholders to align development with MOMAH’s strategic objectives   Roles & Responsibilities: * Lead the end-to-end development of the solution and overseeing updates in AI space  and GenAI models * Architect scalable ML/LLM pipelines, including data ingestion, preprocessing,  indexing, retrieval, response generation, evaluation, deployment, and monitoring * Provide technical direction, code reviews, and mentoring to AI engineers * Work closely with Data Engineers to ensure robust data preparation, labeling, and  governance * Ensure compliance with ministry data, security, and ethical AI policies *  Drive continuous improvements in AI model accuracy, and efficiency *  Partner with DevOps to optimize CI/CD pipelines for ML models and ensure reliable  deployment   Job Requirements: * Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or related field. * Senior-level (minimum 7–10 years experience, with at least 2–3 years in a lead role)
Responsibilities
Lead the end-to-end development and architectural design of scalable AI and GenAI solutions. Provide technical leadership, mentor AI engineers, and ensure alignment with strategic objectives and data governance policies.
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