Enterprise Agentic AI Architect – Snowflake

Enterprise Agentic AI Architect – Snowflake

BizTech Fusion is hiring for one of our clients and is seeking a highly experienced Enterprise Agentic AI Architect / Cloud Solutions Architect to lead the architecture and delivery of enterprise-scale Agentic AI solutions.

Location: Austin, TX

Work Arrangement: Onsite, 5 days/week

Experience: 14–18+ years overall IT experience

Work Authorization: Must be authorized to work in the U.S.

Interview: Face-to-face

Required Technical Skills

Snowflake Ecosystem

Snowflake
Snowpark
Streamlit
Cortex AI

AI / Agentic AI

LLM
RAG
Agentic AI
Multi-agent architectures
MCP / Model Context Protocol
OpenAI-compatible tool interfaces
Agent orchestration and tool calling

Data & Development

Python
SQL
DBT
ETL/ELT
CI/CD for data platforms

Required Experience

10+ years of experience in software or data engineering.
3+ years of hands-on experience building LLM-based systems.
2+ years designing and operating Agentic AI systems in production.
Proven experience architecting and leading multi-agent systems running in production for 12+ months.
Strong experience with supervisory/planner-worker architectures, tool calling, state management, memory, and workflow recovery.
Experience building an Agent Registry or Agent Catalog.
Hands-on experience deploying MCP servers/clients or OpenAI-compatible tool interfaces in production.
Experience with agent-generated executable code, including sandboxing, automated validation/testing, and approval workflows.
Experience building AI/agent evaluation frameworks, regression testing, and production quality gates.
Production experience with LLM observability, including tracing, token/cost monitoring, and incident troubleshooting.
Experience implementing AI guardrails, human-in-the-loop workflows, audit logging, permission controls, and rollback processes.
Strong understanding of SSO, SAML/OIDC, RBAC, IAM, security, and enterprise governance.

Responsibilities

Architect reusable, task-specific AI agents for complex enterprise workflows.
Design and implement enterprise multi-agent applications.
Establish agent governance, security, and centralized agent catalogs.
Build observability and monitoring frameworks for production AI systems.
Implement human approval and intervention mechanisms.
Partner with data engineers, architects, developers, and business stakeholders.
Drive production adoption of scalable and governed Agentic AI solutions.

Important Requirement

This position requires hands-on production experience with Agentic AI systems. Candidates whose experience is primarily limited to prototypes, pilots, internal demonstrations, or basic RAG chatbots will not meet the requirements.

Interested candidates: Please share your updated resume highlighting your experience with Snowflake, Agentic AI, LLMs, MCP, RAG, Python, and production AI systems.