{"id":142439,"url":"https://alion.io/job/appliedsystems-security-engineer-ai","title":"Security Engineer, AI","company":{"id":1954754,"name":"Applied Systems, Inc.","domain":"insurtechpod.com","url":"https://alion.io/company/insurtechpod","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Security","role_family":"Security","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US","CA","MX","AI","AG","AW","BS","BB","BZ","BM","VG","BQ","KY","CR","CW","DM","DO","SV","GL","GD","GP","GT","HT","HN","JM","MQ","MS","NI","PA","PR","KN","LC","VC","PM","SX","TT","TC","VI"],"hiring_countries_total":38,"salary":{"min":80000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GDPR","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SOC 2","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-08-28T03:26:14Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-21T08:07:09Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Job Description\nAmazing Career Moments Happen Here\nTransforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.\nPosition Overview\nApplied Systems is building out its AI security program and seeking an experienced security engineer to help secure our Large Language Models, generative AI systems, and ML infrastructure. This is an emerging role for an engineer who understands traditional security principles deeply and is eager to apply them to the rapidly evolving world of AI, from prompt injection and model poisoning to data privacy in training pipelines. You won't need to be an ML researcher or data scientist, but you should have foundational knowledge of how machine learning works and be genuinely curious about AI-specific security threats. This role offers the opportunity to shape how Applied approaches AI security, work with cutting-edge technology, and grow expertise in an area where few security engineers have deep experience. Ideal for someone who values both hands-on security work and the challenge of learning an emerging domain.\nWhat You’ll Do\nEvaluate and assess the security posture of Large Language Models (LLMs) and generative AI systems used within or by Applied Systems\nConduct threat modeling and security architecture reviews for AI/ML systems and their data pipelines\nImplement and maintain security controls for AI model training, fine-tuning, and inference infrastructure\nDevelop and maintain security baselines and hardening configurations for AI platforms and frameworks\nIdentify and help remediate security vulnerabilities specific to AI/ML systems (prompt injection, model poisoning, data exfiltration, adversarial attacks)\nImplement data security and privacy controls for AI training datasets and inference inputs\nDevelop and maintain security runbooks for AI systems incident response\nParticipate in security reviews of AI/ML applications and vendor AI services\nContribute to the development of internal AI security policies and guidelines\nAssist with proof-of-concept builds for AI security solutions and controls\nStay current with emerging AI security threats, research, and industry best practices\nContribute to internal security training related to AI risks and secure AI development\nWe’re looking for someone who:\nHas the ability to work from an Applied Systems office or 100% remotely\n Your experience should include some or all of the following:Minimum of 3-5 years' experience in security engineering or DevSecOps roles\nDemonstrated foundational understanding of machine learning concepts, ML workflows, and common frameworks (PyTorch, TensorFlow, scikit-learn)\nWorking knowledge of Large Language Models, transformer architectures, and generative AI applications\nExperience with or strong understanding of LLM security concerns (prompt injection, jailbreaking, data poisoning, model extraction)\nExperience with container security, Kubernetes security, and securing AI workloads in containers\nKnowledge of cloud security in AI contexts (GPU security, distributed training security, data protection in ML pipelines)\nUnderstanding of secure software development practices and supply chain security as applied to ML models\nKnowledge of model governance, versioning, and secure model deployment\nExperience with infrastructure-as-code technologies (Terraform, Ansible)\nExperience with one or more scripting languages (Python, Bash, Go)\nUnderstanding of encryption, key management, and data privacy (especially PII in training data)\nFamiliarity with vulnerability scanning and secure code practices\nWorking knowledge of compliance frameworks and their application to AI systems (GDPR, SOC 2, etc.)\nExperience with securing data pipelines and ETL processes\nExcellent written and verbal communication skills\nDemonstrated ability to work independently and as part of a team\nWillingness to rapidly learn new AI technologies and security frameworks\n\nYou may also have:Certification in security (Security+, CISSP, etc.)\nExperience with specific LLM platforms (OpenAI API, Anthropic Claude, Google Vertex AI, Azure OpenAI)\nExperience with ML security tools and platforms (Robust Intelligence, Arthur AI, etc.)\nParticipation in AI security research, publications, or conferences\nExperience in threat modeling for AI systems\nBackground in security research or penetration testing\nExperience with red-teaming AI systems \nWe know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply! \n\nLocation\nCandidate will need to reside in North America, working arrangement will be remote.\nWhen You Join Team Applied, You Can Expect:\nA culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.\nWe flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.\nA comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:\nMedical, Dental, and Vision Coverage\nHoliday and Vacation Time\nHealth & Wellness Days\nA Bonus Day for Your Birthday\nLearn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/\nOur targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.\nYour Security Matters: Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.\nEEO Statement\nApplied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. 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