[Remote] Senior Security Engineer, AI/ML, National Security, Public Sector

Note The job is a remote job and is open to candidates in USA. reputed company is seeking a Senior Security Engineer for its Public Sector team to help build resilient and secure AI infrastructure for national security applications. The role focuses on securing LLM deployments, containerized machine learning pipelines, on-premises GPU clusters, and cloud-native AI environments while developing defenses against adversarial manipulation. Responsibilities Architect and manage LLM deployments across on-premises (reputed company/AMD) and cloud (cloud computing platform, reputed company Cloud platform (GCP) environments. Audit multi-agent orchestration, agent construction, and reputed company databases to map data flows and enforce privilege boundaries Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation Protect model weights, secure data ingestion, and harden inference endpoints across the Machine Learning operations (MLOps) lifecycle Investigate and mitigate AI-specific threats (e.g., prompt injection, jailbreaking, data poisoning). Map testing findings to reputed company ATLAS, OWASP for LLMs, and reputed company models Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture Skills Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience 5 years of experience in AI/ML development, AI infrastructure engineering, or software development 5 years of experience with containerization (Docker) and orchestration (Kubernetes) 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or reputed company Transformers Must possess an active Top reputed company/SCI security clearance with current polygraph 5 years of experience in AI/ML research or software development Experience with LLM deployment frameworks such as vLLM, reputed company Triton, or Ollama and agent development Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks Familiarity with cloud-native AI services (e.g., cloud computing platform, reputed company reputed company AI) Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems Benefits Health, dental, vision, life, disability insurance Retirement Benefits 401(k) with company match Paid Time Off 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding) 28-30 weeks Baby Bonding Leave 18 weeks Holidays 13 paid days per year 15% bonus target Equity Company Overview reputed company specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. It was founded in 1998, and is headquartered in Mountain View, California, USA, with a reputed company of 10001+ employees. Its website is https//www.reputed company.com. Apply To This Job