AI Architect
nexshift · Hyderabad · onsite · Posted 23d ago
About a minute. You'll make an account on the way through.
About this role
Preferred: 12+ years of technical experience required.
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
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