... reality before a program commits. * Spot gaps in Bluestaq's AI tooling, skills, or process before ... LLMs, retrieval-augmented generation, and agentic or tool-using architectures, including MCP-style ...
... reality before a program commits. * Spot gaps in Bluestaq's AI tooling, skills, or process before ... LLMs, retrieval-augmented generation, and agentic or tool-using architectures, including MCP-style ...
Principal AI Engineer, AI Security
Colorado Springs, CO · On-site +1
$200K - $300K/yr
... reality before a program commits. * Spot gaps in Bluestaq's AI tooling, skills, or process before ... LLMs, retrieval-augmented generation, and agentic or tool-using architectures, including MCP-style ...
Quick apply
Principal AI Engineer, AI Security
Colorado Springs, CO · On-site +1
$200K - $300K/yr
... reality before a program commits. * Spot gaps in Bluestaq's AI tooling, skills, or process before ... LLMs, retrieval-augmented generation, and agentic or tool-using architectures, including MCP-style ...
Remote Augmented Reality information
What are remote augmented reality jobs?
Remote augmented reality jobs involve working with AR technology—software and hardware that overlays digital information onto the real world—while performing all job duties from a remote location. These roles can include AR developers, designers, project managers, testers, and support staff who collaborate virtually to create, test, and maintain AR applications. Remote AR professionals use tools like Unity, Unreal Engine, and ARKit/ARCore to build immersive experiences for mobile, web, or headset platforms. They often work for tech companies, startups, or agencies, supporting industries such as gaming, education, healthcare, and retail. Communication and project management are typically handled through online collaboration platforms, making strong digital communication skills essential.
What are the key skills and qualifications needed to thrive as a Remote Augmented Reality Developer, and why are they important?
To excel as a Remote Augmented Reality Developer, you need a strong background in computer science, 3D graphics, and AR development, often demonstrated by a relevant degree or portfolio. Familiarity with AR platforms like ARKit, ARCore, Unity, Unreal Engine, and programming languages such as C# or C++ is crucial. Outstanding problem-solving, communication, and self-management skills help you collaborate effectively and deliver projects independently in a remote setting. These competencies enable the creation of immersive, high-quality AR experiences and ensure reliable performance when working remotely.
What is the difference between Remote Augmented Reality vs Remote Virtual Reality Developer?
| Aspect | Remote Augmented Reality | Remote Virtual Reality Developer |
|---|---|---|
| Required Credentials | Typically a degree in computer science, AR/VR certifications, and programming skills | Similar credentials, often with additional focus on 3D modeling and immersive design |
| Work Environment | Develops AR applications for mobile devices, headsets, and real-world integration | Creates fully immersive VR environments primarily for training, gaming, or simulations |
| Industry Usage | Used in retail, healthcare, education, and marketing for real-world overlay | Common in gaming, training simulations, and virtual experiences |
Remote Augmented Reality focuses on overlaying digital content onto the real world, while Remote Virtual Reality Developer creates fully immersive digital environments. Both roles require similar skills and certifications but differ in application and industry focus.
What are some common challenges faced when working remotely as an Augmented Reality developer, and how can they be addressed?
Remote Augmented Reality (AR) professionals often face challenges such as hardware compatibility issues, limited access to specialized equipment, and difficulties in real-time collaboration with designers and stakeholders. To address these, many teams use cloud-based AR development platforms and version control systems to streamline asset sharing and testing. Regular virtual meetings, clear documentation, and adopting collaborative tools like shared 3D workspaces can help maintain communication and ensure project alignment. Additionally, many companies provide stipends or loaner devices to ensure remote team members have access to necessary hardware.
What are popular job titles related to Remote Augmented Reality jobs in Colorado? For Remote Augmented Reality jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Augmented Reality jobs in Colorado look for? The top searched job categories for Remote Augmented Reality jobs in Colorado are:
What cities in Colorado are hiring for Remote Augmented Reality jobs? Cities in Colorado with the most Remote Augmented Reality job openings:
Other
Posted 5 days ago
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 & 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.