Director, Agentic AI Security

United States Digital Space LLC; United States; Remote; USD 195,000 - 290,000; Full time

Benefits offered by this job

Market-leading compensation and equity

Comprehensive wellness programs

Vacation and holidays

Parental and adoption leave

Professional development

Employee networks and community groups

Office culture and facilities

Job summary

United States Digital Space LLC is seeking an applied research lead to oversee both offensive and defensive aspects of agentic AI in cybersecurity. You will set the scientific direction for agentic AI work and guide the next generation of security products, spanning post-training models, harnesses, and evaluation methodologies.

The role combines leadership with hands-on research, leading teams of scientists and engineers while contributing directly to experiments and product-grounded research.

Qualifications

• MS or PhD in computer science, computer engineering, or similar quantitative field.
• 10+ years of experience in data science, ML/DL, or AI with a focus on large-scale data problems.
• Hands-on expertise in modern LLM post-training techniques.
• Demonstrated research contributions to or experience building agentic systems.
• Strong evaluation discipline (designing, extending, or validating methodologies).

Responsibilities

• Lead the research agenda for agentic AI systems that operate autonomously across cybersecurity use cases. Set scientific direction, shaping the team's research bets and staying close enough to the work to run experiments, review results, and dig into hard problems alongside the team.
• Drive original research on efficient models tuned for security workflows, including methods in post-training, reward modeling, and data curation strategies that enable them. Personally lead the experimental work on the most ambiguous problems.
• Establish a rigorous evaluation, verification, and validation methodology covering models, data, agent designs, and end-to-end systems. This includes current and new benchmarks, adversarial evaluation protocols, and measurement practices that others in the field will adopt.
• Partner closely with security researchers, threat intel, detection engineering, and product to ground applied research in real operator workflows and adversarial conditions.
• Define principled abstractions for the skills and tools agents use, grounded in practical ways that security agents execute.
• Advance the science of agent design, including harnesses, scaffolding, planning, memory, tool use, and multi-step reasoning. Contribute novel techniques back to the field through publications and standards.

Skills

Data science

ML/DL

AI research

Leadership

Experimental design

Education

MS or PhD in CS/CE or similar

Job description

United States Digital Space LLC is seeking an applied research lead to oversee both offensive and defensive aspects of agentic AI in cybersecurity. You will set the scientific direction for agentic AI work and guide the next generation of security products, spanning post-training models, harnesses, and evaluation methodologies.

The role combines leadership with hands-on research, leading teams of scientists and engineers while contributing directly to experiments and product-grounded research.