AI Engineering Director
About the role
Lead engineering through an agentic AI transformation at a company protecting the world's most valuable AI systems — from Fortune 500s to federal agencies. A bit about us: We're a Gartner-recognized leader in Security for AI, offering a unified platform for supply chain security, runtime defense, posture management, and automated red teaming across agentic, generative, and predictive AI applications. Built by cybersecurity and machine learning veterans, our patented technology helps organizations across the public and private sectors adopt AI with confidence — defending against prompt injection, adversarial manipulation, model theft, and supply chain compromise. Why join us? We're a fast-growing, award-winning leader in AI security, protecting the world's most valuable technologies from AI attacks. Founded by cybersecurity and machine learning veterans, we've built a patented, unified platform that secures agentic, generative, and predictive AI applications — covering supply chain security, runtime defense, posture management, and automated red teaming. Our customers span Fortune 500 enterprises, financial institutions, healthcare systems, and federal agencies, all relying on us to adopt AI securely and with confidence.
Responsibilities
- Oversee multiple AI engineering teams, ensuring effective execution and alignment with company goals; mentor engineering managers and senior technical staff
- Partner with senior leadership to shape engineering strategy and roadmap, including an ongoing agentic transformation
- Manage large-scale, complex projects — prioritization, resourcing, risk management, on-time delivery
- Drive technical innovation, especially in agentic loop engineering, and foster continuous improvement
- Collaborate cross-functionally with product, design, and operations as the engineering liaison
- Build, scale, and mentor AI engineering talent and leadership pipelines
- Establish and report on KPIs for engineering teams
- Optimize workflows, tooling, and development processes using agile and DevOps best practices
Requirements
- Bachelor's in Computer Science/Engineering (Master's preferred)
- 10+ years in software engineering, 5+ in leadership (director/senior manager level)
- Track record leading multiple teams on complex, high-impact projects
- Strong background in systems architecture and cloud technologies
- Experience with agile, CI/CD, and DevOps practices
- Excellent communication and strategic thinking; comfortable with executive stakeholders
Pay
$250,000 - $350,000 per year