Agentic AI Platform Architect

Luna Data Solutions, Inc.; Austin (TX); On-site; USD 160,000 - 260,000; Full time

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

We are seeking an Agentic AI Platform Architect to design and implement an enterprise-scale AI platform built on Snowflake. This role will lead the architecture of reusable AI agents, enterprise applications, governance frameworks, and observability capabilities that enable secure, scalable, and reliable AI adoption across the organization.

Key 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 business stakeholders to deliver production-ready AI solutions.
• Define platform standards, security controls, and best practices for agent development.

Required 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 operating in production for 12+ months.
• Deep expertise with:
• Snowflake (Snowpark, Streamlit, Cortex AI)
• Python, SQL, DBT
• ETL/ELT pipelines and CI/CD
• Multi-agent orchestration and LLM frameworks
• MCP and OpenAI-compatible tool interfaces
• SSO (SAML/OIDC), RBAC, and enterprise governance

Preferred Experience

• Building Agent Registries or Agent Catalogs.
• Agent-generated code execution, validation, and deployment controls.
• LLM evaluation frameworks, regression testing, and release quality gates.
• LLM observability, tracing, token/cost monitoring, and incident response.
• Human-in-the-loop workflows, audit logging, rollback, and governance controls.
• Experience in highly regulated or large enterprise environments.

What You'll Bring

• Strong technical leadership and architecture skills.
• Excellent communication and stakeholder engagement abilities.
• A passion for building secure, scalable, and impactful AI solutions.

Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check is required for this role.