Senior Solution Architect -Data & AI

About the role

Promote best practices for DevOps/MLOps integration, testing, and continuous deployment Stay abreast with emerging technologies and evolving best practices in AI, GenAI, and GCP to continuously modernize the product architecture We're looking for someone who has: Required work experience: 8+ years of experience in software engineering or architecture, with at least 3 years in a technical lead or architect role for advanced analytics products

What you'll do

• Lead and govern the GIT strategy - defining folder structures, branching conventions, PR review processes, and repository standards
• 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

What you need

• 8–14 yrs of experience
• Git
• System design
• Python
• Java
• Microservices
• Docker
• Any graduate

Good to have

• GCP
• Machine learning
• MLOps
• LLMs
• ETL
• CI/CD