Tech Lead/Architect

Job Title: Tech Lead / Architect

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and development of AI-powered B2B SaaS products. This role requires a strong hands-on technologist who can work closely with ML Engineers and Full Stack Development teams, own the product architecture, and ensure scalability, security, and compliance across the platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend, data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS platforms

• Drive cloud-native deployments (AWS / Azure / GCP) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.) across the product

• Take ownership of application security, access controls, and compliance requirements

• Actively contribute hands-on through code reviews, complex feature development, and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and system design

• Work closely with Product Management and Leadership to translate business requirements into technical solutions

Required Skills & Experience

• 10–15 years of overall experience in software engineering and product development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (AWS / Azure / GCP)

• Solid background in backend technologies (Java / .NET / Node.js / Python) and modern frontend frameworks

• Experience working with AI/ML teams and deploying ML models into production environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native architectures

• Strong knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-functionally

Good to Have

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization