Technical Architect - AI & Digital Platforms

Description

About KashTech

KashTech is a digital engineering company focused on building enterprise-grade platforms and AI-enabled solutions for manufacturing and enterprise clients.

Our expertise includes digital transformation, enterprise web platforms, cloud solutions, and AI-driven applications.

We are looking for an experienced Technical Architect / Enterprise Architect to lead the design and development of scalable enterprise systems and AI-enabled digital platforms.

Role Overview

As a Technical Architect, you will define the technology architecture, solution design, and development standards for modern enterprise applications.

You will work closely with engineering teams, product leaders, and clients to design secure, scalable, and high-performance systems while driving the adoption of AI-powered development and intelligent solutions.

Key Responsibilities

• Define and lead architecture for enterprise web platforms and digital solutions
• Design scalable microservices and API-driven architectures
• Guide development teams on architecture standards and best practices
• Lead implementation of AI-powered solutions and intelligent automation
• Evaluate and recommend modern technology stacks and cloud platforms
• Ensure systems are secure, scalable, and aligned with business goals
• Collaborate with engineering and delivery teams to ensure successful solution implementation
  
  

Required Experience

• 12+ years of experience in software development and architecture
• Strong experience building enterprise web applications and digital platforms
• Hands-on experience with modern technology stacks Experience designing microservices and API-driven architectures
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Experience working with AI technologies or AI-enabled applications is mandatory
• Understanding of AI-assisted development tools and modern development workflows
  
  

Preferred Experience

• Experience using Claude or similar AI development tools
• Experience with AI integration, automation, or data-driven applications
• Exposure to DevOps practices, Docker, and Kubernetes
• Experience in manufacturing or enterprise digital transformation projects
• Strong client-facing and technical leadership experience
  
  

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