AI & Data Systems Engineer

CAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors, empowering them to engage and transact with leading asset managers on a massive scale through a wide variety of alternative investment products and technology solutions. CAIS provides financial advisors with a broad selection of alternative investment strategies, including hedge funds, private equity, private credit, real estate, digital assets, and structured notes. CAIS also delivers industry-leading technology, operational efficiency, and world-class client service throughout the pre-trade, trade, and post-trade experience. CAIS supports over 50,000 advisors who oversee more than $6 trillion in network assets.   

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 (BT) team as its technical backbone — configuring, integrating, and deploying solutions rapidly without building software from scratch.

BT owns platforms including Snowflake (Cortex, Streamlit), N8N, Airtable, Salesforce, DataHub, Claude/CoWork, and Stonly. You will unblock the team, accelerate automation delivery, and help establish the guardrails needed to scale safely — in close partnership with the Technology organization.

• 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

• 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

CAIS is consistently recognized as a Best Place to Work, and our culture is at the heart of our success. We are committed to fostering an inclusive environment where employees can be their most authentic selves and feel inspired and supported to bring their voice forward to drive community, growth, and innovation. We are an equal opportunity employer, and do 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.  Learn more about our culture, benefits, and people at https://www.caisgroup.com/our-company/careers. 

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 do require a minimum of 3 days in office per week.  For more information on our benefits and career opportunities, please visit our website: https://www.caisgroup.com/our-company/careers.

We use technology, including AI tools, to support parts of our recruitment process such as application screening, interview scheduling, and candidate communications. These tools are used to improve efficiency and consistency, but they do not replace human judgement. All hiring decisions are made by people, and we are committed to fair and unbiased assessment of every candidate.