Product Tech Lead Data & AI

• 6+ years of experience in software engineering or architecture, with at least 3 years in a technical lead or architect role for advanced analytics products
• [Mandatory] Strong expertise in GCP AI and data services such as Vertex AI, BigQuery, workflows, Pub/Sub, AI APIs, Cloud Functions, Terraform etc.
• [Mandatory] Solid understanding of data architecture principles and hands-on experience collaborating with data engineers to design scalable data pipelines
• [Mandatory] Prior hands-on experience in software development (Python, Java, or similar) and familiarity with modern full-stack frameworks.
• [Mandatory] Deep knowledge of machine learning workflows, MLOps patterns, and production deployment architectures
• [Mandatory] Experience defining and managing Git workflows, reviewing PRs, and ensuring code quality governance
• [Mandatory] Experience with CI/CD, Docker/containers, and automated testing for AI products
• [Mandatory] Google Cloud Professional Cloud Architect certification is a must
• Act as a trusted advisor and subject matter expert, guiding product teams on solution architecture and design, with a focus on leveraging GCP, DBT, AI/ML, and GenAI
• Lead and govern the GIT strategy - defining folder structures, branching conventions, PR review processes, and repository standards
• Serve as the owner of technical documentation across all AI products, maintaining a single, accessible repository of architectural diagrams, design decisions, and key implementation guides
• Define and evolve architecture for data engineering, machine learning, and product interface (front-end) aligned to enterprise standards and business goals
• Establish and maintain architectural guidelines, standards, and best practices.
• Drive performance, scalability, reliability, security, and cost efficiency for AI products

Drive automation initiatives to improve operational efficiency