About the Role :

We are looking for a Solution Architect with a strong foundation in full stack development and deep expertise in AI/ML solution design. The ideal candidate will combine hands-on technical capability with architectural vision to design, build, and scale intelligent, data-driven products and enterprise systems.

Key Responsibilities :

1. Solution Design & Architecture :

- Design scalable, secure, and high-performance solutions across web, mobile, and data layers.

- Develop reference architectures for AI/ML integrations within enterprise or product environments.

- Lead technical discussions, evaluate trade-offs, and guide design decisions aligned with business goals.

2. AI/ML Integration :

- Architect and deploy AI/ML models into production systems (e.g., predictive analytics, NLP, computer vision, recommendation systems).

- Collaborate with data scientists and MLOps engineers to ensure efficient data pipelines and model lifecycle management.

- Evaluate open-source and cloud-based AI platforms (AWS Sagemaker, Azure ML, Vertex AI, etc.).

3. Full Stack Development Leadership :

- Provide technical leadership across frontend (React, Angular, etc.), backend (Node.js, Python, Java, etc.), and database (SQL/NoSQL) layers.

- Ensure alignment with best practices for scalability, microservices, and API architecture.

- Review code, enforce engineering standards, and mentor development teams.

4. Cloud & DevOps

- Architect cloud-native solutions on AWS / Azure / GCP.

- Implement CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure as code.

- Ensure robust security, compliance, and monitoring frameworks.