AI & Data Systems Engineer
Cais · New York City
About this role
**AI & Data Systems Engineer** CAIS is transforming Platform Operations into a technology-enabled business transformation organization. The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical backbone—configuring, integrating, and deploying solutions rapidly without building software from scratch. **Responsibilities** **Platform & Integration** - Own configuration and integration of BT’s tool stack; resolve API, connectivity, and configuration blockers - Design and implement Salesforce ↔ Snowflake integrations and other cross-system data flows - Build Streamlit apps and operational dashboards that put data directly in business users’ hands **AI & Automation Enablement** - Deploy intelligent automations using Snowflake Cortex, Claude/CoWork, N8N, and AI-native tooling - Co-pilot BT team members through prototyping, testing, and operationalizing agentic workflows - Create reusable templates and automation patterns that raise the team’s overall delivery velocity **Data & Reporting Operations** - Maintain Snowflake queries, data models, and reporting layers serving BT’s operational and analytical needs - Use DataHub to catalog assets and support data discoverability across the BT environment - Assist in ensuring data security and integrity in partnership with Engineering and InfoSec teams **Engineering Practices & Safe Delivery** - Partner with Technology to implement SDLC, testing, deployment, and version control practices for BT’s tool stack - Define lightweight automation standards (reliability, error handling, logging)—guardrails that enable speed, not slow it - Maintain documentation so configurations and processes are auditable and transferable **Cross-Functional Partnership** - Bridge BT and Engineering/InfoSec—translate business requirements into specs and surface constraints early - Mentor BT team members in automation and data tools; participate in design reviews with senior engineers **Required** - 2–5 years in systems/automation/data engineering or business systems (fintech preferred) - Hands-on Snowflake (SQL, queries); Cortex AI or Streamlit a strong plus - SaaS platform configuration and API integration (Airtable, Salesforce, workflow tools) - Workflow automation platforms: N8N, Zapier, Make, or equivalent - Version control (Git) and software…
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