AI Solution Architect - Industrial AI
Role Overview
Design and deliver enterprise-scale AI/ML and Generative AI solutions for Industrial AI environments.
The role covers solution architecture across OT, edge, on-premise, and cloud environments.
Key Skills for This Role
Full Job Posting
Job Overview
Design and deliver enterprise-scale AI/ML and Generative AI solutions for Industrial AI environments.
The role covers solution architecture across OT, edge, on-premise, and cloud environments.
Location and Job Type
- Location: Riyadh, Saudi Arabia.
- Job type: Full time.
Must-Have Competencies
- Proven experience architecting enterprise-scale AI/ML or GenAI solutions from design through production deployment.
- Strong knowledge of AI platforms, agentic workflows, integration patterns, APIs, data architecture, and MLOps.
- Ability to design secure hybrid architectures spanning OT, edge, on-premise, and cloud environments.
- Experience defining non-functional requirements for availability, performance, scalability, observability, and cybersecurity.
- Strong stakeholder communication and ability to translate business and engineering needs into solution architecture.
Good-to-Have Competencies
- Experience in Oil and Gas, refinery, industrial IoT, or digital twin programs.
- Knowledge of retrieval-augmented generation, knowledge graphs, and engineering document intelligence.
- Familiarity with industrial cybersecurity standards and model governance practices.
Responsibilities
- Architect enterprise-scale AI/ML or Generative AI solutions from design through production deployment.
- Design secure hybrid architectures spanning OT, edge, on-premise, and cloud environments.
- Define non-functional requirements for availability, performance, scalability, observability, and cybersecurity.
- Translate business and engineering needs into solution architecture.
- Apply AI platforms, agentic workflows, integration patterns, APIs, data architecture, and MLOps in solution designs.
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