Enterprise Agentic AI Architect – Snowflake
BizTech Fusion
- Location
- Onsite (Austin, TX)
- Employment
- Contract
- Level
- Senior Level
About the Role
BizTech Fusion is seeking an Enterprise Agentic AI Architect to lead the design and delivery of scalable, production-grade multi-agent AI solutions for enterprise clients. The role focuses on building secure, governed, and observable AI systems within the Snowflake ecosystem.
Skills
Full job details
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.