AI architect

India·HyderabadFull-timemid

ArchitectConstruction & Real Estate

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

This role is for one of Weekday’s clientsSalary range: Rs 2500000 - Rs 5500000 (ie INR 25 - 55 LPA) Min Experience: 14+ yearsLocation: Chennai, Tamil Nadu, India, Hyderabad, Telangana,

Technical Tools

ArchitectConstruction & Real Estate

Requirements

~1 min read

14–20 years of overall experience in software engineering, enterprise architecture, technology consulting, or solution architecture.
Proven experience working as an AI Architect, AI Solution Architect, or Solution Architect.
Strong track record of designing and delivering complex, enterprise-scale technology solutions.
Experience leading architecture discussions and working with senior business and technology stakeholders.
Excellent problem-solving, communication, analytical, and decision-making skills.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Responsibilities

~1 min read

→Define and drive the enterprise AI architecture strategy, ensuring alignment with business objectives, technology roadmaps, and organizational goals.
→Design end-to-end AI solutions, including architecture, technology selection, system integration, deployment, and scalability.
→Lead the development and implementation of AI/ML solutions, generative AI applications, Large Language Models (LLMs), and intelligent automation platforms.
→Architect scalable, secure, reliable, and high-performance AI systems across cloud and enterprise environments.
→Evaluate emerging AI technologies, frameworks, tools, and platforms to identify opportunities for innovation and business transformation.
→Design AI-powered solutions incorporating machine learning, deep learning, natural language processing, computer vision, and generative AI.
→Establish architectural best practices, design principles, governance frameworks, and technical standards for AI solution development.
→Collaborate with business stakeholders, product managers, engineering leaders, and cross-functional teams to understand requirements and define technical solutions.
→Provide technical leadership and architectural guidance to development teams throughout the solution lifecycle.
→Ensure AI solutions meet enterprise requirements for security, data privacy, compliance, performance, and cost optimization.
→Drive proof of concepts (POCs), solution evaluations, and technology modernization initiatives.
→Identify opportunities to integrate AI capabilities into existing enterprise applications and business processes.