Architect

Role Overview: As an Architect/Technical Lead at Zenoti, you will have the exciting opportunity to design, develop, and deploy cutting-edge AI-powered solutions. Your primary responsibility will be to lead the technical direction, ensuring that the platforms are scalable, reliable, and leveraging the latest advancements in Generative AI and cloud computing. You will collaborate closely with product managers, engineers, and data scientists to build world-class AI experiences. Key Responsibilities: - Architectural Design: - Design and implement robust, scalable, and secure cloud-based architectures. - Define technology stacks, including AI/ML frameworks, cloud services, and related technologies. - Ensure seamless integration with existing systems and third-party services. - Technical Leadership: - Lead a team of engineers, providing technical guidance and mentorship. - Drive the development process, ensuring adherence to best practices and coding standards. - Conduct code reviews and ensure high-quality deliverables. - Gen AI Expertise: - Stay up-to-date with the latest advancements in Generative AI and apply them to product development. - Evaluate and select appropriate LLMs and AI models. - Develop and optimize AI models for performance and accuracy. - Implement fine-tuning and training strategies for AI models. - Cloud Infrastructure: - Design and implement scalable and cost-effective cloud infrastructure (e.g., AWS, Azure, GCP). - Ensure high availability, reliability, and security of cloud platforms. - Optimize cloud resources for performance and cost. - Technology Implementation: - Design and implement robust APIs and microservices. - Optimize system performance and identify areas for improvement. - Implement monitoring and logging systems to ensure system health. - Collaboration and Communication: - Work closely with product managers to define product requirements and roadmaps. - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Collaborate with data scientists to improve AI model performance. - Troubleshooting and Optimization: - Troubleshoot complex technical issues and provide timely solutions. Qualifications Required: - Minimum of 8+ years of experience in software development, with a focus on cloud-based systems. - Proven experience in architecting and leading the development of complex AI-powered products. - Extensive experience with cloud platforms (AWS, Azure, GCP). - Strong experience with Gen AI technologies, including LLMs, and related AI/ML concepts. (Note: Additional details about the company were not found in the job description provided.),