Senior Agentic AI Platform Architect

Luna Data Solutions, Inc.

Austin (TX)

On-site

USD 160,000 - 260,000

Full time

7 days ago
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Job summary

Luna Data Solutions, Inc. is seeking an Agentic AI Platform Architect to design and implement an enterprise-scale AI platform built on Snowflake.

You will lead reusable AI agents, enterprise applications, governance, and observability to enable secure, scalable AI adoption across the organization. Responsibilities include designing multi-agent workflows, building enterprise-facing applications, and establishing security and governance standards.

Qualifications

  • 10+ years of software, platform, or data engineering experience.
  • 3+ years building production LLM-based solutions.
  • 2+ years designing and operating production agentic AI systems.
  • Experience leading the architecture of a multi-agent platform in production for 12+ months.
  • Deep expertise with Snowflake (Snowpark, Streamlit, Cortex AI), Python, SQL, DBT, and CI/CD.

Responsibilities

  • Design and implement reusable, modular AI agents and multi-agent workflows.
  • Build enterprise-facing agentic applications and automation solutions.
  • Establish governance frameworks including SSO, RBAC, agent catalogs, and MCP/OpenAI-compatible standards.
  • Implement observability, monitoring, audit logging, and human-in-the-loop controls.
  • Collaborate with engineers, architects, and stakeholders to deliver production AI solutions.
  • Define platform standards, security controls, and best practices for agent development.

Skills

Technical leadership
Architecture thinking
Stakeholder engagement
Security-minded design

Tools

Snowflake
Snowpark
Streamlit
Cortex AI
Python
SQL
DBT
ETL/ELT pipelines
CI/CD
LLM frameworks
SAML/OIDC
RBAC

Job description

Luna Data Solutions, Inc. is seeking an Agentic AI Platform Architect to design and implement an enterprise-scale AI platform built on Snowflake.

You will lead reusable AI agents, enterprise applications, governance, and observability to enable secure, scalable AI adoption across the organization. Responsibilities include designing multi-agent workflows, building enterprise-facing applications, and establishing security and governance standards.

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