Job Title: Solution Architect 

Job Overview:

We are seeking an experienced Solution Architect to lead the design and implementation of an IoT platform with AI capabilities. The ideal candidate will drive end-to-end architecture, ensuring seamless integration of IoT devices, AI models, cloud infrastructure (GCP), and web applications.

Key Responsibilities:

✅ Architectural Design & Strategy:

• Design and oversee the end-to-end architecture of an IoT-AI platform.
• Ensure seamless integration of IoT devices, AI/ML models, cloud infrastructure (GCP), and web applications.
• Define and implement scalable, secure, and high-performance system designs.

✅ AI & Machine Learning Integration:

• Develop architectural strategies for leveraging AI/ML technologies.
• Implement Vertex AI for model training and deployment.
• Utilize Llama models for predictive analytics and NLP applications.

✅ Data & IoT System Architecture:

• Design data pipelines and integration workflows for real-time data streaming from IoT devices.
• Implement IoT communication protocols like MQTT or CoAP.
• Ensure efficient data flow between AI models, storage systems, and web applications.

✅ Cloud & Microservices Architecture:

• Design microservices-based architectures for modular development and scalability.
• Select appropriate GCP services (e.g., BigQuery, Pub/Sub, Cloud Functions) to optimize performance.
• Implement best practices for cloud architecture, fault tolerance, and disaster recovery.

✅ Security & Compliance:

• Define and enforce security standards across the platform.
• Ensure secure API communication using OAuth, JWT, and encryption.
• Maintain compliance with industry regulations for IoT and AI applications.

✅ Collaboration & Technical Leadership:

• Work closely with Product Managers, Data Scientists, and ML Engineers to gather requirements.
• Guide Full Stack Developers & Software Engineers on architectural best practices.
• Provide support to DevOps Engineers for infrastructure as code (IaC) implementation using Terraform.
• Ensure smooth API-driven integrations between IoT devices, AI models, and applications.

✅ Documentation & Performance Monitoring:

• Create and maintain comprehensive architectural documentation (e.g., system diagrams, data flow models).
• Monitor system performance, identify bottlenecks, and optimize architecture to meet SLAs.
• Stay updated on emerging trends in IoT, AI/ML, and cloud computing.

Qualifications & Skills:

🎓 Educational & Professional Background:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• 5+ years of experience in Solution Architecture.
• 2+ years of experience working on AI/ML and/or IoT projects.

💡 Technical Expertise:

• Expertise in AI/ML technologies: Vertex AI, Llama models.
• Strong experience with GCP services: BigQuery, Pub/Sub, Cloud Functions.
• Proficiency in microservices and API design: REST, GraphQL.
• Knowledge of IoT protocols & data streaming: MQTT, CoAP, Kafka.
• Cloud deployment & infrastructure: Docker, Kubernetes, Terraform.
• Security practices: OAuth, JWT, encryption.

🚀 Preferred Qualifications:

• Google Cloud Professional Cloud Architect certification (preferred).
• Experience in Agile/Scrum environments.