Senior Security Engineer
Glocomms is partnered with a cutting-edge biopharmaceutical organization recognized globally for its flagship cancer treatment products. As part of a major investment in a newly established technology and operations hub in Chautauqua County, New York, the company is building out a world-class AI Security function to support the next generation of research, manufacturing, and digital innovation. They are seeking a Security Engineer who will play a key role in securing advanced AI-enabled platforms, protecting sensitive scientific data, and helping shape security strategy as artificial intelligence becomes increasingly embedded across the enterprise.
This is an opportunity to join a growing team at a pivotal stage, influencing how security is integrated into modern cloud, data, and AI ecosystems from the ground up.
Primary Responsibilities
- Design and implement security controls for AI-enabled applications, machine learning platforms, data pipelines, and cloud-native environments.
- Partner with engineering, data science, and research teams to embed security throughout the AI and software development lifecycle.
- Perform threat modeling and security architecture reviews for generative AI, machine learning, and emerging technology initiatives.
- Develop controls to protect sensitive training data, models, inference pipelines, and AI-driven business processes.
- Assess and mitigate risks associated with large language models (LLMs), AI agents, third-party AI services, and model supply chains.
- Build detection and monitoring capabilities to identify misuse, adversarial attacks, data poisoning attempts, prompt injection risks, and unauthorized access to AI systems.
- Implement security automation and infrastructure-as-code guardrails across cloud and AI environments.
- Lead vulnerability assessment and remediation efforts across applications, cloud infrastructure, and AI platforms.
- Support incident response investigations involving cloud, data, application, and AI-related security events.
- Research emerging threats and evolving attack techniques targeting machine learning systems, advanced analytics platforms, and enterprise AI deployments.
Key Qualifications
- Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field.
- 7+ years of experience in cybersecurity, security engineering, cloud security, application security, or a closely related discipline.
- Demonstrated experience securing AI, machine learning, data science, analytics, or other advanced technology environments.
- Strong understanding of AI security concepts, including model security, data protection, adversarial machine learning risks, AI governance, and secure AI deployment practices.
- Hands-on experience with AWS, Azure, or other large-scale cloud platforms.
- Experience with threat modeling, security architecture reviews, and secure-by-design methodologies.
- Strong background in identity and access management, network security, data security, and enterprise security architecture.
- Experience building security automation using technologies such as Python, Terraform, PowerShell, or similar tools.
- Knowledge of security monitoring, threat detection, incident response, and modern security operations practices.
- Excellent communication and collaboration skills, with the ability to work closely with engineering, research, and business stakeholders.
This position is based in Chautauqua County, NY and follows a hybrid work model, requiring regular on-site collaboration at the company's newly developed campus while offering flexibility for remote work.
Relocation assistance is available for qualified candidates who are interested in joining this high-profile site buildout. The organization is seeking experienced security professionals who are passionate about securing AI-driven innovation and want to help establish the security foundation for a rapidly expanding biopharmaceutical technology environment.
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