Architect - Agentic AI/Python/Cloud/Architecture

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand Stone, Massage Heights, Rush Hair Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONIGUY.

Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte s 2020 Technology Fast 500 . We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com

Our products are built on Windows .NET and SQL Server and managed in AWS. Our web Ux stack is built on jQuery, and we use AngularJS. Our middle tier is in C#, and we build our infrastructure on an extensive set of Restful APIs. We build native iOS and Android apps using Flutter and Dart. Our platform infrastructure is built in .NET Core and deployed on RHEL Enterprise Linux using Docker and Kubernetes. We use Python extensively for data processing workloads and Tableau for analytics dashboards for select infrastructure components. We use Redshift, Aurora, Redis Elasticache, Lambda, and other AWS and Azure products to build and manage our complete service, moving towards serverless components. We deal with billions of API calls, millions of records in databases, and terabytes of data to be managed with all services we build that have to run 24x7 at 99.99% availability.

As an Architect/Technical Lead, you will be responsible for designing, developing, and deploying cutting-edge AI-powered solutions. You will lead the technical direction, ensuring our platforms are scalable and reliable, and leverage the latest advancements in Generative AI and cloud computing. You will work closely with product managers, engineers, and data scientists to build world-class AI experiences.

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 API s 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.

Experience:

• Minimum of 8+ years of experience in software development, with a focus 1 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.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Node.js.
• Deep understanding of cloud architecture and services.
• Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch).
• Strong knowledge of RESTful APIs and microservices architecture.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).