Senior AI Security Architect (Hybrid)

Glocomms; New York (NY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Glocomms partners with a biotechnology company to advance immunotherapy research, development, and manufacturing from a Lake Erie facility in Chautauqua County, NY. This senior role is hybrid, typically requiring in-person collaboration three days a week at the site.

As Senior AI Cybersecurity Engineer, you will secure AI/ML platforms and enterprise AI initiatives spanning research, manufacturing, and business operations, guiding governance, threat modeling, and secure architecture across AI

Qualifications

• Hands-on experience securing AI/ML systems, machine learning platforms, generative AI applications, and enterprise AI environments.
• Strong understanding of AI/ML pipelines, model training, model validation, model deployment, secure model operations, and AI platform security.
• Experience designing and implementing secure AI architectures for LLM applications, RAG solutions, AI agents, and other modern AI workloads.
• Deep knowledge of AI-specific attacks and threats, including prompt injection, data poisoning, model theft, model inversion, model exfiltration, adversarial ML, jailbreak attacks, and AI misuse scenarios.

Responsibilities

• Design, implement, and maintain security controls across the AI/ML lifecycle, including data pipelines, model training environments, model registries, inference services, and production deployments.
• Lead AI threat modeling initiatives and conduct security assessments of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) applications, AI agents, vector databases, and other AI-driven technologies.
• Develop secure AI architectures and security design patterns to mitigate risks such as prompt injection, data poisoning, model theft, model inversion, model exfiltration, jailbreak attacks, adversarial machine learning attacks, and generative model abuse.
• Establish and maintain AI governance controls, AI guardrails, training data governance standards, prompt governance requirements, and responsible AI practices.
• Conduct AI security testing, AI system red teaming, application security reviews, API security assessments, and validation exercises to identify vulnerabilities and abuse scenarios.
• Partner with data science, machine learning engineering, infrastructure, and software development teams to integrate secure development practices throughout AI/ML pipelines and MLOps workflows.
• Build and enhance AI security monitoring capabilities, including anomaly detection, drift detection, observability, security telemetry, logging, and AI attack detection.
• Support incident response, threat detection engineering, security investigations, forensic analysis, and security operations activities involving AI systems and production environments.
• Secure cloud and on-premises AI infrastructure, including Kubernetes environments, GPU clusters, containerized workloads, CI/CD pipelines, APIs, authentication, authorization, secrets management, and network segmentation.
• Develop security standards, policies, SOPs, templates, and technical guidance while providing mentorship and leadership across cross-functional teams.

Skills

AI security

Threat modeling

Security engineering

Kubernetes

Python

Cloud security

Incident response

CI/CD security

Education

Bachelor's degree or 12+ years experience

Tools

AWS

Azure

GCP

Kubernetes

Docker

SageMaker

Job description

Glocomms partners with a biotechnology company to advance immunotherapy research, development, and manufacturing from a Lake Erie facility in Chautauqua County, NY. This senior role is hybrid, typically requiring in-person collaboration three days a week at the site.

As Senior AI Cybersecurity Engineer, you will secure AI/ML platforms and enterprise AI initiatives spanning research, manufacturing, and business operations, guiding governance, threat modeling, and secure architecture across AI