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VP of Engineering

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: OnCorps, LLC
Full Time position
Listed on 2026-10-04
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Software Project Mgr/ Lead, DevOps
Salary/Wage Range or Industry Benchmark: 210000 - 320000 USD Yearly USD 210000.00 320000.00 YEAR
Job Description & How to Apply Below
VP, Engineering

Northeast - Boston, NYC

OnCorps is the leading enterprise Agentic AI solution for middle and back-office automation. The company delivers production-ready AI agents that automate reconciliation, exception resolution, and oversight workflows for the world's largest asset managers, fund administrators and managed service providers.

OnCorps' agentic AI architecture enables fully autonomous processing of complex middle and back-office workflows while maintaining the transparency, control, and auditability required by global financial institutions. Clients rely on OnCorps to deliver measurable operational efficiency and accuracy improvements across mission critical processes.

With a rapidly growing customer base and increasing demand for scalable AI solutions in capital markets, OnCorps is expanding its senior management team to include a VP, Software Engineering to scale its platform and technical organization through the Company’s next phase of innovation and expansion.

The Opportunity

We are seeking a seasoned and visionary VP of Engineering to lead engineering execution, architecture, and operational delivery under the Chief Product & Technology Officer (CPTO). Reporting directly to the CPTO, the VP of Engineering will be responsible for leading our engineering functions, driving technical execution, scaling our AI-centric enterprise SaaS platform, and ensuring OnCorps continues to deliver trusted, secure, and high-performing AI solutions to the capital markets ecosystem.

The ideal candidate combines deep technical acumen in enterprise SaaS and AI platforms. We are seeking a VP of Engineering with demonstrated success leading distributed engineering teams and scaling AI-powered SaaS platforms. This leader must be fluent in modern AI development workflows and capable of building a fully AI-enabled engineering organization that effectively leverages coding agents, testing agents, and AI-assisted development tools to accelerate innovation and productivity.

The ideal candidate will operate as a player coach, aligning with OnCorps’ culture of builders and innovators.

Key Responsibilities Engineering Execution & Delivery
  • Drive day-to-day software development, engineering operations, and delivery velocity across engineering teams.
  • Partner closely with Product Management and Program Management to translate strategic product roadmaps into predictable, high-quality engineering sprints and releases.
  • Ensure rigorous engineering standards for agile development, release management, code quality, and cloud-native scalability.
  • Partner with the CPTO and senior leadership to set the direction for platform evolution, AI integration, and client scalability.
  • Stay ahead of technology and regulatory trends across AI, data governance, and financial systems to position OnCorps as an industry leader.
AI-Enabled Development & Operational Excellence
  • Implement and scale coding agents, testing agents, and AI-assisted development tools across the organization to maximize developer productivity.
  • Establish metrics and observability dashboards to monitor platform performance, CI/CD throughput, deployment frequency, and engineering velocity.
  • Lead the scaling of OnCorps’ SaaS architecture to support a growing client base and increasingly complex use cases.
  • Ensure robust data governance, model transparency, and explainability across all AI-driven products.
  • Build and maintain a secure, scalable, and high-performance platform that meets the rigorous standards of global asset managers and fund administrators.
  • Partner closely with Info Sec on technical risk management, security compliance (SOC 2, GDPR), and infrastructure reliability.
Team Leadership & Engineering Culture
  • Build, mentor, and scale high-performing Engineering and…
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