AI & Data Systems Engineer

CAIS; New York (NY); On-site; USD 125,000 - 160,000; Full time

Benefits offered by this job

100% employer-paid dental and vision insurance

Employer-matched retirement plan

Generous PTO and parental leave

Flexible work model

Job summary

Cais is seeking an AI & Data Systems Engineer to join their Business Transformation team in New York City. This role focuses on configuring, integrating, and deploying solutions to enhance operations. Key responsibilities include designing Salesforce integrations, deploying intelligent automations, and maintaining data models.

The ideal candidate will have 2–5 years of experience in data engineering, strong communication skills, and a solid understanding of Snowflake and automation platforms.

Cais offers a competitive salary ranging from $125,000 to $160,000, alongside a comprehensive benefits package including healthcare, retirement plans, and a hybrid work model.

Qualifications

• 2–5 years in systems/automation/data engineering, preferably in fintech.
• Hands-on experience with Snowflake and API integration.
• Experience in workflow automation platforms like N8N or equivalent.

Responsibilities

• Configure and integrate platforms and troubleshoot issues.
• Deploy automations using various tools like Cortex and N8N.
• Maintain data models and queries for operational needs.

Skills

Snowflake (SQL, queries)

Strong communication skills

SaaS platform configuration

Workflow automation platforms (N8N, Zapier)

Education

2–5 years in systems/automation/data engineering

Tools

Streamlit

Cortex AI

Git

Job description

CAIS is transforming Platform Operations from a primarily manual function into a technology-enabled business transformation organization. The AI & Data Systems Engineer joins the Business Transformation team as its technical backbone — configuring, integrating, and deploying solutions rapidly without building software from scratch.

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

Required 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

Preferred Qualifications

• 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

Compensation & Benefits

CAIS’ compensation package includes a market competitive salary, a performance bonus, and exceptional benefits. If you are located in New York, New York, the base salary range for this role is $125,000 - $160,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.

CAIS offers a comprehensive benefits package that includes generously subsidized healthcare with 100% employer‑paid dental and vision insurance, an employer‑matched retirement plan, wellness programs, and generous PTO and parental leave. Additionally, CAIS offers a flexible, hybrid in‑office model; for most roles, we require a minimum of 3 days in office per week. For more information on our benefits and career opportunities, please visit https://www.caisgroup.com/our-company/careers.

EEO Statement

CAIS is an equal opportunity employer, and does not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.