4 дня назад
Senior Security Engineer, AI Infrastructure (AI)
135 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Security Engineer, AI Infrastructure (AI): Securing AI workloads and agentic platforms across Kubernetes, cloud services, AI agents, and their tools with an accent on identity management, infrastructure hardening, observability, and governance controls. Focus on designing IAM policies and isolation guardrails, building AI security logging pipelines, conducting threat modeling, and leading incident response for model and agent security issues.
Location: On-site in Dunkirk, NY, United States; Monday–Friday during standard business hours, with manager-approved flexibility.
Annual base pay: $135,000–$150,000, plus discretionary bonus and equity award.
Company
is a publicly traded biotechnology company developing immunotherapies, cell therapies, cancer vaccines, and treatments for infectious diseases.
What you will do
- Design, implement, and maintain security architectures for AI infrastructure, including model hosting, registries, feature stores, vector databases, and agent orchestration platforms.
- Engineer IAM, RBAC/ABAC policies, secrets management, and key and token lifecycle controls for AI services, agents, tools, and data stores.
- Implement sandboxing, least-privilege tool access, network segmentation, and other guardrails for agentic workflows.
- Build logging and observability pipelines covering prompts, tool calls, model outputs, agent actions, and data access paths.
- Conduct threat modeling, risk assessments, incident response, and forensics for AI platforms, models, agents, datasets, and third-party services.
- Partner with DevOps, Platform Engineering, SRE, Data Science, Compliance, and Legal on secure CI/CD, infrastructure-as-code, governance, documentation, and audit readiness.
Requirements
- Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field, with 7+ years of relevant experience.
- 5+ years of experience in security engineering, cloud security, or platform security.
- 3+ years of hands-on experience with Kubernetes-based platforms, microservices, serverless infrastructure, and security hardening.
- Strong knowledge of IAM, secrets management, distributed-system security, data protection, DLP, encryption, masking, and access monitoring.
- Ability to apply NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, and SOC 2 Type 2 controls to technical security programs.
- Ability to work on-site in Dunkirk, NY and use standard office equipment; the role may require lifting and carrying materials weighing up to 30 pounds.
Nice to have
- Experience securing AI/ML or LLM-based systems, including model endpoints, registries, or AI gateways.
- Experience in a regulated industry or with NIST AI RMF, SOC 2 Type 2, ISO 27001, or equivalent frameworks.
- Familiarity with agentic AI systems, workflow engines, multi-step planners, and their security risks.
Culture & Benefits
- Collaborative work across Security, Platform Engineering, Data Science, Compliance, and Legal.
- Professional development opportunities in a growing biopharmaceutical company.
- Medical, dental, and vision plan options, health and financial wellness programs, and an employee assistance program.
- Life and disability insurance, flexible spending accounts, 401(k) with company match, and a 529 education savings program.
- Paid time off, holidays, legal services, identity theft protection, pet insurance, employee discounts, rewards, and perks.
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