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Job Closed

AI Architect

  • Source: LinkedIn
  • Nexshift
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Overview

A B2B software provider in industrial AI and manufacturing optimization is hiring an AI Architect to work directly with large US-based OEMs and manufacturing enterprises. The role focuses on identifying and deploying AI opportunities across business functions, spanning manufacturing and supply chain. This is a hands-on position with significant ownership and impact, reporting to senior stakeholders and business leaders.

Location & Work Mode

  • Based in Hyderabad.
  • Significant travel required, primarily within the United States and internationally including Italy.

Key Responsibilities

  • Work directly with OEMs and manufacturing enterprises on enterprise AI initiatives.
  • Identify AI opportunities in manufacturing, supply chain, engineering, quality, and operations.
  • Translate complex business problems into technical solutions.
  • Architect and build applied AI solutions using modern AI, LLM, agentic, multimodal, and machine learning technologies.
  • Collaborate with executives, business leaders, technical teams, and domain experts.
  • Take initiatives from discovery and prototyping through deployment and adoption.
  • Stay updated on emerging AI capabilities and assess their enterprise value.
  • Shape customer solutions and reusable vertical AI capabilities.

Must Have

  • Experience as AI Architect, Staff/Principal Engineer, or equivalent technical role.
  • Strong software engineering and system architecture fundamentals.
  • Deep understanding of modern AI technologies.
  • Ability to communicate effectively with technical teams and senior business stakeholders.
  • Ability to understand complex manufacturing and supply chain processes.
  • Willingness to travel extensively.

Good to Have

  • Hands-on mindset for building, prototyping, and solving technical problems.
  • Comfortable operating in environments with ambiguity and ownership.

Key Skills & Technologies

AI, LLMs, and Agentic Technologies

Multimodal AI Technologies

Machine Learning

Software Engineering

System Architecture

Rapid Prototyping

Stakeholder Communication

Skills

  • mode
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