Enterprise Agentic AI Architect – Snowflake
BizTech Fusion•Austin, TX
•Onsite
About The Position
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.
Requirements
- 14–18+ years overall IT experience
- Must be authorized to work in the U.S.
- 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
- Python
- SQL
- DBT
- ETL/ELT
- CI/CD for data platforms
- 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.
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
