Lead AI Architect: Generative AI & Snowflake Expert

Infometry; United States; Remote; USD 36,000 - 62,000; Full time

Job summary

Infometry is seeking a Lead AI Architect to shape enterprise AI/ML and Generative AI initiatives from Bangalore. You will architect scalable AI and data platforms, integrating LLMs, RAG, vector databases, and AI orchestration across Azure, AWS, and GCP.

The role requires 10+ years of experience, deep domain knowledge in data governance and security, and strong leadership to drive technical roadmaps and collaborate with senior stakeholders.

Qualifications

• 10+ years of experience in AI/ML architecture.
• Hands-on with Snowflake AI, Cortex AI, Snowpark.
• Strong knowledge of cloud platforms (Azure/AWS/GCP).
• Experience with LLMs, RAG, vector databases and AI/ML frameworks.
• Deep understanding of data architecture, governance, security, and semantic modeling.
• Proven technical leadership and stakeholder communication skills.

Responsibilities

• Lead architecture and design of AI/ML, Generative AI, and Agentic AI solutions.
• Design scalable AI/data platforms using Snowflake AI, Cortex AI, Snowpark, and cloud tech.
• Develop enterprise solutions integrating LLMs, RAG, vector databases, and AI orchestration frameworks.
• Define data architecture, semantic layers, governance, and security for AI platforms.
• Drive AI architecture reviews, roadmaps, and cross-team solution design.
• Ensure Responsible AI, compliance, security, and governance best practices.
• Collaborate with senior stakeholders and provide technical leadership across AI initiatives.

Skills

AI/ML Architecture

Generative AI

Agentic AI

Enterprise AI

Snowflake AI

Snowpark

Cortex AI

Cloud Platforms

LLMs

RAG

Vector Databases

AI Governance

Leadership

Communication

Tools

Azure

AWS

GCP

Job description

Infometry is seeking a Lead AI Architect to shape enterprise AI/ML and Generative AI initiatives from Bangalore. You will architect scalable AI and data platforms, integrating LLMs, RAG, vector databases, and AI orchestration across Azure, AWS, and GCP.

The role requires 10+ years of experience, deep domain knowledge in data governance and security, and strong leadership to drive technical roadmaps and collaborate with senior stakeholders.