AI Architect

About the Role

Jodayn is seeking an AI Architect to define and govern enterprise artificial intelligence architecture. This full-time position is based in Riyadh, Riyadh, Saudi Arabia, and is crucial for enabling the secure, scalable, reusable, and business-aligned adoption of AI, machine learning, and generative AI capabilities across the organization.

Role Overview

The AI Architect will cover AI strategy alignment, AI platforms, model and data architecture, integration patterns, MLOps, GenAI and LLM solutions, responsible AI controls, security, and architecture governance. This role is integral to enterprise transformation initiatives, ensuring that AI adoption supports strategic business objectives.

Key Responsibilities

• Develop and maintain the enterprise AI architecture in alignment with business strategy, enterprise architecture, data strategy, and digital transformation objectives.
• Assess the current AI and analytics landscape, including models, platforms, data sources, tools, use cases, integrations, and operational capabilities.
• Define target-state AI architecture and transition roadmaps for enterprise AI adoption.
• Develop AI architecture principles, standards, patterns, reference architectures, and governance guardrails.
• Design architectures for machine learning, deep learning, generative AI, large language models, intelligent automation, and AI-enabled applications.
• Define enterprise AI platform architecture covering development, training, deployment, inference, monitoring, and lifecycle management.
• Design GenAI architectures including LLM integration, retrieval-augmented generation, vector databases, prompt orchestration, guardrails, and knowledge integration.
• Define AI data architecture requirements including data preparation, feature engineering, feature stores, model training data, metadata, and lineage.
• Define MLOps and LLMOps architecture for model versioning, deployment, monitoring, retraining, evaluation, and governance.
• Design secure integration patterns between AI services, enterprise applications, APIs, data platforms, and external AI services.
• Embed responsible AI, privacy, security, explainability, transparency, fairness, and human oversight requirements into architecture designs.
• Define architecture requirements for model monitoring, performance, drift, observability, auditability, and operational resilience.
• Evaluate AI platforms, foundation models, cloud AI services, open-source technologies, and vendor solutions.
• Collaborate with enterprise, data, application, integration, cloud, security, and solution architects to ensure coherent end-to-end architectures.
• Support AI use-case assessment by evaluating feasibility, architecture complexity, data readiness, risk, scalability, and integration requirements.
• Participate in architecture governance, AI governance, technical design reviews, and Architecture Review Boards.
• Identify AI architecture risks, dependencies, constraints, ethical considerations, and mitigation actions.

Required Qualifications and Experience

• 8-10 years of experience in a relevant field.
• Strong analytical, innovative, and systems-thinking capability.
• Ability to translate business opportunities into practical and governable AI architecture.
• Strong communication, facilitation, and stakeholder management skills.
• Ability to explain complex AI concepts clearly to both technical and non-technical stakeholders.
• Strong focus on security, responsible AI, data quality, scalability, and architecture quality.
• Consulting mindset with the ability to evaluate emerging technologies objectively and support enterprise decision-making.

Core Competencies

• Enterprise AI Architecture
• Machine Learning Architecture
• Generative AI and LLM Architecture
• AI platform architecture
• MLOps and LLMOps
• Retrieval-Augmented Generation (RAG)
• Vector database and semantic search architecture
• AI data pipelines and feature engineering architecture
• AI integration and API architecture
• Responsible AI and AI governance
• AI security and privacy
• Model monitoring and observability
• Cloud AI architecture
• Architecture governance and assurance

Application Process

Candidates interested in this full-time AI Architect position at Jodayn in Riyadh are encouraged to apply. Salary details will be disclosed during the interview process.