The Charles Stark Draper Laboratory

AI Cyber Principal

Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related field (Master's preferred)
  • 7 years of experience in cybersecurity, cloud security (AWS, Azure, GCP), or security engineering
  • Hands-on experience securing Machine Learning pipelines and data platforms
  • Strong understanding of Large Language Models (LLMs) and agentic AI
  • Proficiency in coding languages like Python and IaC tools like Terraform

Responsibilities

  • Lead initiatives utilizing AI and LLMs for incident response and threat hunting
  • Design security controls to protect AI/ML environments from various attacks
  • Develop policies for responsible AI usage and compliance with regulations
  • Simulate AI-assisted attacks to anticipate and guard against threats
  • Collaborate with teams to integrate 'security by design' into AI pipelines
  • Establish monitoring metrics for AI applications' security throughout their lifecycle

Benefits

  • Workplace flexibility to support work-life balance
  • Employee clubs for various interests like photography and yoga
  • Health and finance workshops for personal development
  • Social events to promote team bonding
  • Discounts to local museums and cultural activities
Full Job Description
The AI Cyber Principal is responsible for enabling the cyber security, resiliency and monitoring of the internal Artificial Intelligence models, efforts and systems by establishing a framework that enables AI-driven tools into all applicable workflows. They are responsible for protecting against AI-specific threats, establishing model governance, and automating defense capabilities. The incumbent is instrumental in securing the deploying and extending AI capabilities at Draper, with an understanding of AI and cyber security threats. Duties/Responsibilities • Lead cross-functional initiatives to use AI and Large Language Models (LLMs) to enhance incident response, alert triage, threat hunting, and automated remediation • Design security controls for AI/ML environments, protecting pipelines against model theft, data poisoning, and adversarial attacks • Develop and enforce policies and governance frameworks regarding responsible AI usage, compliance, and emerging AI regulations. • Anticipate threats by simulating AI-assisted attacks and architecting predictive defensive measures • Partner with DevOps, data engineering, and AI/ML teams to bake "security by design" into all AI pipelines and products • Establish metrics to monitor the security of AI applications across the full life cycle and establish AI cyber governance framework that aligns emerging federal AI security and assurance expectations.  Skills/Abilities • Hands-on experience securing Machine Learning pipelines, data platforms, and containerized/microservices architectures. • A strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI. • Proficiency in coding languages like Python, as well as IaC (Infrastructure as Code) tools like Terraform. • Proven ability to manage teams, work with executive stakeholders, and translate complex security concepts into business requirements Education • Requires a bachelor’s degree in computer science, Cybersecurity, Data Science, or a related field (master’s degree preferred) Experience • 7 years in cybersecurity, cloud security (AWS, Azure, GCP), or security engineering. • Demonstrated experience in applying AI Risk Mitigations and Monitoring frameworks. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a US government security clearance. Active Top Secret Clearance with SCI eligibility is required. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: The US base salary range for this full-time position is $100,000.00 - $275,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.  Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

About The Charles Stark Draper Laboratory

Draper Laboratory is an American non-profit research and development organization, headquartered in Cambridge, Massachusetts; its official name is The Charles Stark Draper Laboratory, Inc. The laboratory specializes in the design, development, and deployment of advanced technology solutions to problems in national security, space exploration, health care and energy. The laboratory was founded in 1932 by Charles Stark Draper at the Massachusetts Institute of Technology to develop aeronautical instrumentation, and came to be called the MIT Instrumentation Laboratory. During this period the laboratory is best known for developing the Apollo Guidance Computer, the first silicon integrated circuit based computer. It was renamed for its founder in 1970, and separated from MIT in 1973 to become an independent, non-profit organization. The expertise of the laboratory staff includes the areas of guidance, navigation, and control technologies and systems; fault-tolerant computing; advanced algorithms and software systems; modeling and simulation; and microelectromechanical systems and multichip module technology.
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