Snowflake Cortex AI Engineer / Cortex Code & Agents Engineer
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- Build governed data-aware AI systems with Cortex Code, Analyst, Search and agent foundations
- Orchestrate agents across structured, unstructured and external enterprise systems
- Operate and improve AI systems with eval-driven quality, governance and cost discipline
Benchmark: Snowflake AI & ML Engineering + current AI Engineer / Staff AI Engineer - Cortex Code Quality and Cortex Agents signals (current Sep 2026). Market refresh: Cortex Code/CoCo; Cortex Agents; Cortex Analyst and Search; semantic views; Cortex AISQL; managed MCP; Openflow; Snowflake Intelligence; AI observability/evals; Horizon governance; production reliability, cost and access control.
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Build governed data-aware AI systems with Cortex Code, Analyst, Search and agent foundations
Cortex Code + agentic developer workflow
Coverage: Cortex Code / CoCo / Python / SQL / Prompt & Context Engineering / Tool Schemas / Verification
Cortex Analyst, semantic views + Cortex Search grounding
Coverage: Cortex Analyst / Semantic Views / Cortex Search / Hybrid Retrieval / RAG / Text-to-SQL
Orchestrate agents across structured, unstructured and external enterprise systems
Cortex Agents, Snowflake Intelligence + governed tool use
Coverage: Cortex Agents / Snowflake Intelligence / REST APIs / Threads / Tool Use / Secure Code Execution
Managed MCP, Openflow + multimodal data-to-action pipelines
Coverage: Managed MCP / Openflow / Cortex AISQL / Document AI / External Actions / Enterprise Integration
Operate and improve AI systems with eval-driven quality, governance and cost discipline
Evaluation, tracing + quality hill-climbing
Coverage: AI Observability / Agent Evals / Golden Sets / Regression / Error Mining / Model Optimization / Cost-Latency-Quality
Horizon governance, RBAC + production reliability
Coverage: Horizon Catalog / RBAC / Masking / Guardrails / Audit / Data Governance / Reliability / Cost Controls
Role-Readiness Proof / Capstone
Build and operate a production Snowflake agentic application for a real enterprise workflow. Use Cortex Code to scaffold or refine the implementation; create authoritative semantic views and Cortex Search services over structured and unstructured data; configure a Cortex Agent with at least two governed tools, including a managed MCP or external action where useful; surface the workflow through Snowflake Intelligence or an application/API; ingest or transform one multimodal source with Openflow, AISQL or Document AI; enforce RBAC, masking and least privilege; create golden scenarios and eval/regression runs with traces; profile quality, latency and credits/tokens; run a permission/failure drill and publish a deployment/runbook package plus measured task success and business impact.
Proof Rubric
- Prove correct context and tool design
- semantic-view and retrieval quality
- accurate MCP/tool contracts
- governed execution and least privilege
- reproducible evals and regression gates
- traceable failures and error analysis
- robust structured and unstructured data handling
- safe model/tool behavior
- reliable deployment and recovery
- cost/latency/quality tradeoffs
- measurable task success and adoption
- and evidence that evaluation or production feedback materially changed the agent rather than merely validating the initial design