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From the employer's careers site First seen 28 Oct 2026

Principal Security Ops Analyst

Syneos Health senior full-time

The employer hasn't listed a salary.

Apply on Syneos Health

Description

Syneos Health, a leading life sciences services organization, is seeking a Principal Security Ops Analyst. The successful candidate will lead the implementation and operationalization of enterprise AI security tools and controls across various AI platforms.

Job Responsibilities

  • Design, deploy, and maintain AI security guardrails, including prompt injection protection, jailbreak detection, and content filtering.
  • Develop and maintain standardized AI security baselines, system prompts, security patterns, and reusable guardrail configurations.
  • Operationalize AI security technologies, including Microsoft Defender for Cloud AI Services and Zscaler AI Guard.
  • Build and mature AI threat detection and response capabilities by integrating AI security telemetry into Sentinel and Cyber Threat Defense workflows.
  • Develop AI-specific security monitoring use cases, detection logic, alerting strategies, investigation runbooks, and containment procedures.
  • Establish and execute a repeatable AI red teaming program focused on prompt injection, jailbreak attacks, and sensitive data leakage.
  • Assess AI platforms and applications against OWASP LLM Top 10, CSA AI Controls, NIST AI RMF, and internal security standards.
  • Analyze AI-related findings, identify root causes, prioritize risk, and provide actionable remediation guidance.
  • Partner with AI developers and architects to implement secure-by-design AI patterns.
  • Conduct security architecture reviews of AI solutions and external AI integrations.
  • Support enterprise AI governance initiatives, including AI inventory, AI asset discovery, and AI risk assessment.
  • Develop metrics, dashboards, and executive reporting that demonstrate AI security posture and risk reduction.
  • Coordinate with various teams to operationalize AI security controls and response processes.
  • Evaluate emerging AI security technologies and tooling to support the evolving AI security roadmap.

Qualification Requirements

  • 8+ years in cybersecurity, security engineering, cloud security, application security, or security operations.
  • 3+ years designing or securing AI/ML, Generative AI, LLM, agent-based, or cloud-native applications.
  • Experience with Microsoft Security, Azure AI/Foundry, Defender for Cloud, Sentinel, Zscaler, CASB, GCP, AWS, and modern security monitoring platforms.
  • Deep understanding of prompt injection, jailbreak attacks, LLM security risks, and AI adversarial testing.
  • Strong written and verbal communication skills.

Preferred

  • Proficiency in a wide range of security tools, such as vulnerability scanning, endpoint protection/EDR, SIEM, SOAR, IPS/IDS, WAF, SASE, perimeter firewall, reverse proxy, defense in depth practices, and malware analysis tools.
  • Programming experience in bash, python, or PowerShell.
  • Prior experience in the healthcare or pharmaceutical industry.

Skills

Required

  • Microsoft Security
  • Azure AI/Foundry
  • Defender for Cloud
  • Sentinel
  • Zscaler
  • CASB
  • GCP
  • AWS
  • AI security
  • LLM security
  • adversarial testing

Nice to have

  • vulnerability scanning
  • endpoint protection/EDR
  • SIEM
  • SOAR
  • IPS/IDS
  • WAF
  • SASE
  • perimeter firewall
  • reverse proxy
  • defense in depth practices
  • malware analysis tools
  • bash
  • python
  • PowerShell
Apply on Syneos Health