Principal AI Engineer, AI Security

Bluestaq US External

$200K — $300K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in AI security architecture, AI/ML engineering, or related fields with specialization in both.
  • Hands-on experience securing advanced AI systems like LLMs and agentic architectures.
  • Strong knowledge of the AI threat landscape and effective countermeasures.
  • Deep understanding of cloud security, preferably AWS, for identity and traffic isolation.
  • Ability to communicate AI risks clearly to technical and non-technical stakeholders.
  • Experience influencing engineering standards and decisions without direct authority.
  • U.S. citizenship with the ability to obtain a security clearance.

Responsibilities

  • Serve as AI Security technical authority for captures and bids, translating AI requirements into solutions.
  • Lead AI assurance/security roadmap encompassing model security and threat modeling for Bluestaq data.
  • Design and ensure AI systems are secure in challenging environments like air-gapped settings.
  • Model threats against AI systems, focusing on critical attack vectors.
  • Establish external presence on secure AI for national security through talks and writing.
  • Ensure AI deliveries meet assurance and supply-chain standards for trust-building.
  • Integrate AI-security across Bluestaq's platform to avoid siloing of efforts.
  • Stay updated on AI/ML advances and their relevant applications in security.
  • Coach stakeholders on realistic AI capabilities and expectations.
  • Identify gaps in AI tooling and processes, proposing solutions proactively.
  • Lead a growing AI team as project demands increase.

Benefits

  • Remote work flexibility with occasional travel to secure sites.
  • Opportunity to influence key AI security initiatives in national security.
  • Path for professional growth from individual contributor to team leader.
  • Engagement with cutting-edge AI technologies and threat models.
  • Work within a dynamic team focused on mission-critical solutions.
Full Job Description
About the role
NSPM-11 directs the national security enterprise to adopt AI fast and assure it across the full stack, down to the data pipeline. That is our home field.

We are hiring a Principal AI Engineer, AI Security to build agentic and mission AI on the Bluestaq platform. You will prove it secure and resilient from design through deployment.

This is a senior individual-contributor role with a player-coach path. You will deliver hands-on now and stand up and lead a small AI team as the work grows. You will be the AI technical authority across the full lifecycle, from shaping bids to assuring what we deliver.

What you'll do
  • Serve as the AI Security technical authority on captures and bids. Translate mission-owner AI and AI-security requirements into solutions that win. Build credibility with technical buyers across the IC, DoD, and partners.
  • Own AI-assurance/security roadmap for the platform, spanning model security, runtime protection, and threat modeling for AI built on Bluestaq data. Partner with engineering to embed assurance by design.
  • Design and assure AI for the environments mission owners operate in, including disconnected, classified, and air-gapped settings where assurance cannot depend on continuous cloud connectivity.
  • Threat-model AI systems against the attacks that matter at this level: adversarial inputs, model extraction and distillation, data and supply-chain poisoning, and agentic or tool-use abuse.
  • Establish and carry the external voice on secure AI for national security through talks, writing, and demonstrated technical work.
  • Ensure delivered AI meets the assurance, TEVV, and supply-chain standards mission owners depend on, so trust drives expansion and renewal.
  • Connect AI-security work into Bluestaq's broader AI platform, so evaluation frameworks, model registries, and pipelines serve the whole program instead of a security-only silo.
  • Stay ahead of AI/ML advances and bring in the ones that offer real advantage here, not the ones that just make headlines.
  • Coach mission owners and non-technical stakeholders on what AI can realistically do, so expectations match reality before a program commits.
  • Spot gaps in Bluestaq's AI tooling, skills, or process before they become blockers, and drive the proposals that close them.
  • Hire and lead a small AI team as the pipeline grows.

Required qualifications
  • Five or more years across AI security architecture, AI/ML engineering, or a closely related combination, with demonstrated specialization at the intersection of the two.
  • Hands-on experience securing modern AI systems: LLMs, retrieval-augmented generation, and agentic or tool-using architectures, including MCP-style integrations.
  • Working command of the AI threat landscape and practical countermeasures, including where those countermeasures are weak and you compensate with architecture.
  • Cloud security depth, AWS preferred, including identity and workload isolation for model and inference traffic, preferably supporting large-scale Intelligence Community programs.
  • Ability to translate AI risk so a customer accreditor, a security auditor, and an engineer each understand it in their own terms.
  • The seniority to own a domain, set standards, and influence engineering decisions without direct authority.
  • U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance.

Preferred qualifications
  • Active TS/SCI.
  • A public technical record in AI security: research, conference talks, open tooling, red-team writeups, or sustained content. We value the thinking shown, not just the resume.
  • Experience delivering and assuring AI in regulated or government environments.
  • Familiarity with the federal AI assurance landscape, including NIST AI RMF, TEVV, and the NSPM-11 mandate.
  • Secure AI/ML supply-chain experience: model and dataset provenance, third-party model risk, and the equivalent of an SBOM for models.
  • Experience standing up an AI or AI-security capability from zero and growing a team into it.

Education
Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent experience. Advanced degree preferred.

Required Location & TravelThis position remote, open to candidates based in Colorado or Virginia, with up to 12 trips per year to customer, partner, or government sites, including secure facilities.

Salary Range (CO)

$200,000-$300,000 USD

Clearance Requirement: This position may require the ability to obtain a TS/SCI Clearance. To be eligible for a security clearance, U.S. citizenship is required, and an employee must agree to participate in a background screen and credit check. Eligibility for a TS/SCI Clearance will be assessed as part of the onboarding process or based on programmatic needs.

Relocation: This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

Date the Position Closes: Applications will be accepted for 60 days beyond the posting date, or until the position is filled, whichever comes first.

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