Automation-Driven AI & Data Systems Engineer

Motive Partners; New York (NY); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Healthcare

Dental & Vision

Employer-matched retirement plan

Wellness programs

PTO & parental leave

Hybrid in-office model

Job summary

CAIS is building a technology-enabled Platform Operations function and seeks an AI & Data Systems Engineer to configure, integrate, and deploy solutions rapidly. You will collaborate with BT and Technology teams to accelerate automation and establish guardrails for scalable delivery.

You will own tool configurations, deploy automations using Snowflake Cortex, Claude/CoWork, and Streamlit, and help set data security and SDLC standards across the stack.

Qualifications

• 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.

Responsibilities

• 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 for business users.

Skills

Systems/Automation experience

Data engineering

SaaS integration

CI/CD basics

Strong communication

Tools

Snowflake

Cortex AI

Streamlit

Airtable

Salesforce

N8N

Zapier

Make

Git

Job description

CAIS is building a technology-enabled Platform Operations function and seeks an AI & Data Systems Engineer to configure, integrate, and deploy solutions rapidly. You will collaborate with BT and Technology teams to accelerate automation and establish guardrails for scalable delivery.

You will own tool configurations, deploy automations using Snowflake Cortex, Claude/CoWork, and Streamlit, and help set data security and SDLC standards across the stack.