Enterprise AI Architect: GenAI, MLOps & Governance

Jodayn; Riyadh; On-site; SAR 300,000 - 520,000; Full time

Job summary

Jodayn is seeking an AI Architect to define and govern enterprise AI architecture, aligning AI strategy with business goals. You will lead patterns for GenAI, LLM integration, MLOps, data pipelines, and security across transformation initiatives.

The role requires extensive experience in AI/ML architecture, cloud platforms, and enterprise governance, with collaboration across security, data, and solution teams.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Software Engineering or related field.
• 8–10+ years in tech, data, software, analytics, ML, or architecture.
• 3–5+ years hands-on AI/ML architecture or data science platforms.
• Experience designing enterprise-scale AI/generative AI solutions.
• Familiarity with AI platforms, cloud services, data pipelines, APIs, and enterprise integration.
• Experience with generative AI and LLM architectures is highly desirable.
• Experience supporting enterprise transformation and AI adoption programs.
• Ability to work with senior stakeholders, data teams, engineering, cybersecurity, vendors.

Responsibilities

• Define and govern enterprise AI architecture to enable secure, scalable, reusable AI adoption.
• Develop target-state AI architecture, roadmaps, principles, standards, and guardrails.
• Design architectures for ML, DL, GenAI, LLMs, and AI-enabled apps.
• Define AI data architecture requirements including feature stores and lineage.
• Define MLOps/LLMOps for versioning, deployment, monitoring, retraining, and governance.
• Design secure integration patterns between AI services and enterprise systems.
• Embed responsible AI, privacy, security, explainability, and oversight in designs.
• Collaborate with enterprise, data, cloud, security, and solution architects to ensure end-to-end coherence.
• Support AI use-case assessments, risk, scalability, and integration requirements.
• Participate in Architecture Review Boards and governance activities.

Skills

Enterprise AI Architecture

Machine Learning Architecture

Generative AI & LLM Architecture

AI platform architecture

MLOps & LLMOps

Retrieval-Augmented Generation

Vector database

AI data pipelines

API architecture

Responsible AI governance

AI security & privacy

Model monitoring & observability

Cloud AI architecture

Architecture governance

Education

Bachelor's degree in Computer Science, AI, Data Science, or related field

Tools

Azure

AWS

Google Cloud

PyTorch

TensorFlow

scikit‑learn

MLOps platforms

Vector databases

Docker

Kubernetes

Bizzdesign | Sparx | Orbus

Job description

Jodayn is seeking an AI Architect to define and govern enterprise AI architecture, aligning AI strategy with business goals. You will lead patterns for GenAI, LLM integration, MLOps, data pipelines, and security across transformation initiatives.

The role requires extensive experience in AI/ML architecture, cloud platforms, and enterprise governance, with collaboration across security, data, and solution teams.