<p>About the Role :<br/><br/>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.<br/><br/>Key Responsibilities :<br/><br/>1.
Solution Design & Architecture : </p><p><br/></p><p>- Design scalable, secure, and high-performance solutions across web, mobile, and data layers.<br/><br/>- Develop reference architectures for AI/ML integrations within enterprise or product environments.<br/><br/>- Lead technical discussions, evaluate trade-offs, and guide design decisions aligned with business goals.<br/><br/>2.
AI/ML Integration : </p><p><br/></p><p>- Architect and deploy AI/ML models into production systems (e.g., predictive analytics, NLP, computer vision, recommendation systems).<br/><br/>- Collaborate with data scientists and MLOps engineers to ensure efficient data pipelines and model lifecycle management.<br/><br/>- Evaluate open-source and cloud-based AI platforms (AWS Sagemaker, Azure ML, Vertex AI, etc.).<br/><br/>3.
Full Stack Development Leadership :<br/><br/>- Provide technical leadership across frontend (React, Angular, etc.), backend (Node.js, Python, Java, etc.), and database (SQL/NoSQL) layers.<br/><br/>- Ensure alignment with best practices for scalability, microservices, and API architecture.<br/><br/>- Review code, enforce engineering standards, and mentor development teams.<br/><br/>4.
Cloud & DevOps<br/><br/>- Architect cloud-native solutions on AWS / Azure / GCP.<br/><br/>- Implement CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure as code.<br/><br/>- Ensure robust security, compliance, and monitoring frameworks.</p> (ref:hirist.tech)