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# AI & Data Systems Engineer

- **Company:** Capital Integration Systems LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, ARM Architecture, Business Systems, Software as a Service, Cyber Security, Continuous Integration, Information Engineering, Data Security, Data Systems, Python (Programming Language), Meta-Data Management, Systems Development Life Cycle, Salesforce.Com, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Data Logging, Data Processing, Scripting, Large Language Models, Snowflake, Zapier, Git, Collibra, Nintex, Data Objects, Streamlit Framework, Software Version Control, Airtable
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ea59d6fd64316f53

## About the Role

* 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 engineering fundamentals (environments, testing, CI/CD basics)
 * Strong communicator across technical and non-technical audiences

Preferred

 * Salesforce Admin configuration (flows, custom objects, reports); certification a plus
 * AI/LLM tooling or agentic frameworks (Claude/CoWork, Langchain, or similar)
 * Data cataloging tools: DataHub, Alation, or Collibra
 * Python or scripting for automation or data processing
 * Streamlit app development or lightweight internal tooling
 * Background in alternative investments or wealth management operations

## Description

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, surface constraints early
 * Mentor BT team members upskilling in automation and data tools; participate in design reviews with senior engineers


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