Enterprise AI Architect: Cloud-Native ML & Governance

Saransh Inc; New York (NY); On-site; USD 150,000 - 180,000; Full time

Job summary

A technology solutions company is seeking an AI Solutions Architect to define the technical direction for AI and ML across the enterprise. The role involves architecting end-to-end solutions for data pipelines and training workflows, translating business priorities into AI-enabled designs, and mentoring engineering teams. The ideal candidate will have a Bachelor's degree in Computer Science, 15+ years of software architecture experience, and strong skills in distributed systems, cloud-native infrastructure, and AI security.

Qualifications

• 15+ years in software architecture with strong experience in distributed systems.
• 5+ years in designing or implementing AI/ML or LLM-based solutions.
• 5+ years hands-on development experience.

Responsibilities

• Architect end-to-end AI/ML and LLM solutions spanning data pipelines and training workflows.
• Translate business priorities into AI-enabled solution designs.
• Maintain and evolve architecture standards.

Skills

Software architecture

AI/ML design

Cloud-native architecture

Java

Kotlin

C#

Python

Education

Bachelor’s degree in Computer Science or related field

Tools

GCP

Kubernetes

Job description

A technology solutions company is seeking an AI Solutions Architect to define the technical direction for AI and ML across the enterprise. The role involves architecting end-to-end solutions for data pipelines and training workflows, translating business priorities into AI-enabled designs, and mentoring engineering teams. The ideal candidate will have a Bachelor's degree in Computer Science, 15+ years of software architecture experience, and strong skills in distributed systems, cloud-native infrastructure, and AI security.