> Markdown version of [/jobs/ext/4281748-vp-of-ai-engineering](https://www.wearedevelopers.com/jobs/ext/4281748-vp-of-ai-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP of AI Engineering - **Company:** Rise Technical Recruitment Ltd - **Location:** Boston, MA, United States - **Salary:** $250,000 - $330,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Large Language Models, Multi-Agent Systems, Deep Learning, Cyber Warfare - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=027039f8118bb024 ## About the Role * Proven record scaling high-performing engineering teams in fast-paced startup environments. * Deep technical mastery in building production-grade LLM systems and multi-agent architectures. * Exceptional communicator aligning research scientists, federal stakeholders, and enterprise operators. * US Citizen ## Description This is an opportunity to join a fast-growing, venture-backed organization scaling next-generation autonomous multi-agent platforms designed for continuous adversarial validation and automated security operations across complex infrastructures. Reporting directly to the executive team, you will build, scale, and lead a specialized federal engineering organization tasked with adapting cutting-edge agentic architectures, continuous self-training loops, and automated execution frameworks for high-security, compliance-heavy government environments. In this role, you will bridge the gap between advanced AI research and mission-critical enterprise deployments. You will lead high-caliber engineers building resilient, scalable architectures that operate seamlessly under modern security constraints, ensuring our autonomous systems meet the rigorous standards demanded by high-stakes operations. This role would suit a visionary engineering leader who has navigated the line between advanced machine learning systems and federal compliance, and wants to define how autonomous cyber operations are deployed at scale. The Role: * Build and direct the Federal Engineering team from architecture to deployment. * Design secure, scalable multi-agent frameworks for high-compliance federal and defense environments. * Translate advanced agentic architectures and planning loops into ruggedized federal solutions. * Drive technical alignment with strict security standards, FedRAMP, and GovCloud constraints. * Partner with leadership to shape product roadmaps and go-to-market execution.