Senior AI Solutions Engineer – Pre-Sales (Capital Markets)

OnCorps; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

OnCorps is building AI-powered agents for asset managers and fund administrators, driving intelligent exception resolution for trillions in assets. We seek a Senior Solutions Engineer to join our rapid-growth team, focusing on customer-facing AI implementations and sales support in a high-agency environment.

You will lead technical discovery, deliver customized demos, and own end-to-end implementation, coordinating with delivery teams to meet demanding business requirements and timelines.

Qualifications

• 7+ years in a Solutions/Forward-Deployed Engineering or related role.
• Experience with serialized data (JSON, YAML) and REST API skills.
• Proficiency in Python or TypeScript; SQL and data pipelines expertise.
• Familiarity with Databricks, Docker, Kubernetes, and CI/CD concepts.
• Strong communication skills and ability to explain technical concepts.

Responsibilities

• Lead technical discovery and demo conversations with prospective customers.
• Deliver tailored product demonstrations and guide pre-sales scoping.
• Own end-to-end implementation, configuring checks and workflows.
• Lead customer-facing technical sessions to surface requirements.
• Partner with Customer Success on implementation planning and updates.
• Serve as a trusted technical expert on product capabilities, integrations, APIs, and deployment options.

Skills

7+ years experience

REST API

Python/TypeScript

SQL/NoSQL

Data pipelines

Databricks

CI/CD

Technical communication

Tools

Databricks

Docker

Kubernetes

Job description

OnCorps is building AI-powered agents for asset managers and fund administrators, driving intelligent exception resolution for trillions in assets. We seek a Senior Solutions Engineer to join our rapid-growth team, focusing on customer-facing AI implementations and sales support in a high-agency environment.

You will lead technical discovery, deliver customized demos, and own end-to-end implementation, coordinating with delivery teams to meet demanding business requirements and timelines.