Enterprise Agentic AI Architect – SnowflakeBizTech 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 LLLMRAG 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.
#J-18808-Ljbffr