Build agentic capabilities: design and ship production agent workflows, including orchestration, tool calling, MCP servers, skills and context management.
Ground AI in data: build retrieval, search and data-querying capabilities across our data platforms, including Snowflake Cortex and Databricks.
Own quality in production: design and evolve evaluation, monitor quality, feedback, cost and latency, and make improvements to accuracy and robustness
Build in safety and security: implement guardrails that keep responses within agreed scope, and ensure each customer's data and context stay securely isolated.
Ship through automation: deploy AI components through version-controlled pipelines, promoted consistently across environments and regions.
Integrate across teams: work with data engineering, platform and deployment teams to bring AI capabilities into the VALD product suite.
Shape what gets built: influence architecture and product decisions, and proactively find ways to improve robustness.
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