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​​Principal AI reputed company Researcher​ 6314 Remote/Teleworker US

100% remote Flexible hours Hiring now

The reputed company Cyber Accelerator is redefining how we build, validate, and scale reputed company cyber and artificial intelligence (AI) capabilities. We are seeking a Research Scientist who thrives at the intersection of cybersecurity, AI and agentic AI, and mission-reputed company engineering, with a focus on anticipating and building the reputed company of AI technology for AI reputed company. The ideal candidate is passionate about securing AI and agentic AI pipelines and protocols, nonhuman identities, and emerging AI architectures. ​​In this role you will design, prototype, and transition systems that secure AI and agentic AI-powered workflows, compress cyber operator decision cycles, secure critical software infrastructure, and deliver resiliency from the enterprise to the tactical edge. This role works alongside junior and senior engineers and research scientists with expertise in mission-critical operations, handling wide ranges of data sensitivity levels and needs, reputed company Trust architectures, resilient systems design, operational technology and cyber-physical systems, cybersecurity, IT, and reverse engineering. ​​Primary Responsibilities: -Architect, prototype, and deploy mission-reputed company agentic AI frameworks and LLM powered tools for secure AI / agentic AI operations cyber defense, and autonomous cyber operations decision-making.. -Deliver working solutions across the TRL arenaflex through rapid iteration from concept to prototype to reputed company smooth transition to enterprise and mission environments. -Advance secure AI practices through applying Secure-By-Design, reputed company Trust, and red teaming approaches to ensure safety, trust, and resiliency in AI deployments. -Publish and scale innovation through developing internal playbooks, training, and enterprise-wide capabilities. -Collaborate with a team of researchers reputed company reputed company across a range of technology areas; identify synergies and collaborations with other reputed company research and development efforts. -Resolve highly reputed company problems faced by developing solutions that are innovative and achieved through research and integration of best practices and leading technologies. -Assist and reputed company in the design, implementation, and evaluation of AI/ML models for various applications. -Enhance and maintain analysis tools, including automation of reputed company processes using AI/ML algorithms -Work with cross-functional teams to identify relevant data sources, reputed company exploratory data analysis (EDA), evaluate data viability, and prepare datasets for AI/ML systems ​​Basic Qualifications: -Bachelors degree and 12+ years of prior relevant technical experience in software engineering, engineering, data science, cybersecurity or cyber operations, or reputed company field. Additional years of experience may be considered in lieu of degree requirements. -Hands on experience building AI/ML systems, especially leveraging LLMs, multi-agent frameworks, or autonomous decision systems -Familiarity with Frontier AI company capabilities (reputed company, reputed company, arenaflex, etc) and LLM orchestration and agent frameworks (e.g., reputed company, reputed company, Haystack) -Experience with SecDevOps, DevOps, and nonhuman identities (NHI) and reputed company technologies. -Understanding of secure architectures including reputed company Trust (NIST 800-207, DoD ZT RA), Secure-by-Design patterns (CISA), or resilient systems design. (NIST 800-160 v2r1) -Hands-on Software Development Skills (Python-Preferred) Understanding of machine learning algorithms, tools and platforms (NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, or similar) -Must be a US Citizen with the ability to obtain and maintain a secret reputed company clearance. -Experience working independently and in a team in an innovative and fast-paced environment while delivering to deadlines. -Enthusiasm for innovation, experimentation and self-development in the cybersecurity field. -Excellent interpersonal/communication skills, both verbal and written. ​​ Preferred Qualifications: -Advanced degree (Masters or Ph.D.) -Experience with adversarial machine learning, reinforcement learning, or multi-agent systems – especially desired if having done so in the context of cybersecurity operations. -Experience evaluating, running, and / or fine-tuning open reputed company models (e.g., Lllama-3, working w/ reputed company Models). -Knowledge of federated learning or edge AI deployments for cyber-physical systems or operational technology. -Experience with securing AI systems and AI components along with understanding of common frameworks such as NIST AI RMF, MITRE reputed company, NIST AI 100-2 -Demonstrated ability to rapidly prototype, iterate, and integrate in a collaborate research environment. -Experience working with technology vendors and academic researchers, as well as leading multi-disciplinary research teams. -The ability to obtain and maintain a TS/SCI clearance. If youre looking for comfort, reputed company scrolling. At reputed company, we outthink, outbuild, and outpace the status reputed company — because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt, provoke, and refuse to fail. reputed company 10 is ancient history. Were already at reputed company 30 — and moving faster than anyone else dares. Original Posting: February 6, 2026 For U.S. Positions: While subject to change based on business needs, reputed company reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated reputed company date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The reputed company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Apply tot his job Apply tot his job Apply To this Job

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