Job description

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 InfoSec on technical risk management, security compliance (SOC 2, GDPR), and infrastructure reliability. Team Leadership & Engineering Culture Build, mentor, and scale high-performing Engineering and DevOps teams, establishing clear structures, feedback loops, and career progression pathways. Attract, hire, and retain top technical talent specialized in enterprise SaaS, distributed systems, and applied AI applications. Cultivate a culture of technical excellence, accountability, and cross-functional collaboration. Cross-Functional & Stakeholder Partnership Collaborate with Implementation, Customer Success, and Go-to-Market teams to align engineering output with enterprise reliability, uptime, and client delivery standards. Engage with key enterprise clients and technical stakeholders to understand complex integration requirements, architectural, and data management needs. Partner with the Head of AI to integrate research, innovation, and development of advanced AI capabilities, LLMOps and agentic functionality into the OnCorps platform. What We’re Looking For 10+ years of progressive technical leadership experience, including 5+ years as a VP of Engineering, Director of Engineering, or equivalent in a financial technology or enterprise software company. Bachelor’s degree in Computer Science, Engineering, or related field required; advanced technical degree preferred. Proven experience scaling an enterprise-grade technology stack, including cloud infrastructure, operations, DevOps, and CI/CD best practices. Deep understanding of data-intensive systems, machine learning operations (MLOps), and AI-driven agentic applications. Hands-on familiarity with modern technologies such as Python, NodeJS, cloud-native containerized microservices (AWS/Azure/GCP), Kubernetes, and modern data pipelines. Experience designing and managing secure, compliant, and high-availability systems serving institutional clients. Proven success leading distributed teams and fostering engineering excellence in a high-growth, innovation-focused environment. Demonstrated ability to build and lead an AI-enabled engineering organization, leveraging AI-assisted development tools and workflows to significantly improve engineering velocity and productivity Strategic Technologist: Able to think several steps ahead and translate technology decisions into long-term business value. Hands-On Leader: Balances technical depth with executive communication and decision-making. Collaborative Partner: Works seamlessly across product, client, and commercial functions. Innovator: Excited by the challenge of applying AI and data science to transform legacy processes in capital markets. Operationally Rigorous: Values scalability, reliability, and engineering discipline in equal measure. Mission-Driven: Shares OnCorps’ commitment to transparency, integrity, and responsible AI. Effective Communicator: Able to translate complex concepts, ideas, challenges and solutions between people with differing backgrounds and expertise (e.g. technology, business, customers) to align all parties to common goals and solutions. Why You Should Join Us This is a compelling opportunity to define and scale the technology foundation of a category-defining AI company at the forefront of capital markets innovation. You’ll partner directly with the CPTO and executive team to shape product, data, and infrastructure strategy across a growing portfolio of Tier 1 enterprise clients. The position offers a competitive compensation package, comprehensive benefits, and professional development support. Apply today and be a part of the future of financial services technology! OnCorps LLC is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, pregnancy, age, marital status, veteran status, or disability status. We provide reasonable accommodations for persons with disabilities. Applicants with equal employment opportunity questions should contact OnCorps at hr@oncorps.io or (617) 286-4448. Retaliation against applicants raising EEO issues is prohibited.

Requirements

Must-haves

VP, Engineering
Northeast - Boston, NYC
The ideal candidate will operate as a player coach, aligning with OnCorps’ culture of builders and innovators.
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 InfoSec on technical risk management, security compliance (SOC 2, GDPR), and infrastructure reliability.
Team Leadership & Engineering Culture
Build, mentor, and scale high-performing Engineering and DevOps teams, establishing clear structures, feedback loops, and career progression pathways.
Attract, hire, and retain top technical talent specialized in enterprise SaaS, distributed systems, and applied AI applications.
Cultivate a culture of technical excellence, accountability, and cross-functional collaboration.
Cross-Functional & Stakeholder Partnership
Collaborate with Implementation, Customer Success, and Go-to-Market teams to align engineering output with enterprise reliability, uptime, and client delivery standards.
Engage with key enterprise clients and technical stakeholders to understand complex integration requirements, architectural, and data management needs.

Nice-to-haves

Bachelor’s degree in Computer Science, Engineering, or related field required; advanced technical degree preferred.

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Keywords to mirror

aiagileci/cdgomachine learningpythonnodejsawsazuregcpkubernetes

Platform: bamboohr
Effort: medium

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Vision

Pto

Professional Development