Solutions Architect

**Responsibilities: (This is an ON-SITE ROLE)**

The responsibilities of the Solution Architect shall _**include, but not be limited**_to, the following:

- Define and implement architectural strategies for leveraging AI/ML technologies, including **Vertex AI** for model training and deployment, and **Llama** models for advanced AI functionalities such as predictive analytics or natural language processing.
- Collaborate with stakeholders (e.g., Product Manager, Data Scientists, Machine Learning Engineers) to gather requirements and translate them into scalable, secure, and high-performance system designs.
- Architect data pipelines and integration workflows to support real-time data streaming from IoT devices, using protocols like MQTT or CoAP, and ensure efficient data flow to AI models and storage systems.
- Design microservices-based architectures to enable modular development, deployment, and scalability, integrating with APIs for inter-service communication and external systems.
- Select and recommend appropriate technologies, frameworks, and tools (e.g., GCP services like BigQuery, Pub/Sub, Cloud Functions) to meet project goals while optimizing cost, performance, and reliability.
- Ensure system scalability, fault tolerance, and high availability by implementing best practices for cloud architecture, load balancing, and disaster recovery.
- Work closely with the DevOps Engineer to design infrastructure as code (IaC) using tools like Terraform, and support CI/CD pipelines for automated deployment of architectural components.
- Provide technical leadership and guidance to development teams (e.g., Fullstack Developers, Software Developers) on architectural best practices, design patterns, and implementation strategies.
- Create and maintain comprehensive architectural documentation, including system diagrams, data flow models, and technical specifications, to support team collaboration and future maintenance.
- Monitor and evaluate system performance, identifying bottlenecks and recommending optimizations to ensure the platform meets SLAs for latency, throughput, and uptime.
- Stay updated on emerging technologies and industry trends in IoT, AI/ML, and cloud computing, and propose innovative solutions to enhance the platform’s capabilities.

**Qualifications: (This is an ON-SITE ROLE)**

The qualifications for the Solution Architect shall _**include, but not be limited**_to, the following:

- Bachelor’s or Master’s degree in Computer Science, IT, or related field.
- 5+ years in solution architecture, with 2+ years on AI/ML and/or IoT projects.
- Expertise in **Vertex AI** and **Llama** models for AI/ML solutions.
- Strong experience with **GCP** (e.g., BigQuery, Pub/Sub, Cloud Functions).
- Proficiency in designing microservices and APIs (REST, GraphQL).
- Knowledge of IoT protocols (MQTT, CoAP) and real-time data streaming (e.g., Kafka).
- Familiarity with **Docker**, **Kubernetes**, and **Terraform** for cloud deployments.
- Understanding of security practices (e.g., OAuth, JWT, encryption).
- Excellent problem-solving and communication skills.
- Experience in **Agile/Scrum** environments.
- (preferred) **Google Cloud Professional Cloud Architect** certification.

**Job Types**: Full-time, Permanent

Pay: ﷼6,000.00 - ﷼8,000.00 per month

Application Question(s):

- Do you live within Al Khobar or within an hour travel to Al Khobar?

**Education**:

- Bachelor's (required)

**Experience**:

- Google Cloud Platform: 3 years (required)

Expected Start Date: 14/03/2025