Principal AI Engineer, AI Security

• 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.

• 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 & Travel

This 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.

At Bluestaq, we build secure data platforms that matter for space missions, national defense, healthcare systems, and commercial innovation. Founded in 2018, we've become a leader in enterprise software and secure data management by staying focused on what counts: modern architecture, operational excellence, and mission impact.