Job Title: Senior Cloud AI Security Specialist
Location: Hartford, CT
Duration: Long-Term Contract
Experience: 10+ Years
Job Summary
We are seeking an experienced Senior Cloud AI Security Specialist to lead the design, implementation, and governance of security solutions for cloud-native AI platforms. The ideal candidate will have deep expertise in cloud security, AI/ML security, cybersecurity frameworks, identity management, compliance, and secure AI application development. This role will work closely with AI engineers, cloud architects, DevSecOps, and compliance teams to ensure secure, scalable, and compliant AI solutions.
Must-Have Skills
- Cloud Security (AWS/Azure/GCP)
- AI/ML Security & Generative AI Security
- Cybersecurity & Risk Management
Nice-to-Have Skills
- DevSecOps
- Kubernetes & Container Security
- SIEM/SOAR (Splunk, Microsoft Sentinel, QRadar)
Key Responsibilities
- Design and implement security architectures for cloud-based AI and Generative AI platforms.
- Conduct risk assessments, threat modeling, and vulnerability analysis for AI applications and cloud infrastructure.
- Develop and enforce cloud security policies, AI governance frameworks, and secure development best practices.
- Implement identity and access management (IAM), encryption, secrets management, and zero-trust security models.
- Secure AI pipelines, LLM applications, RAG architectures, APIs, and model deployment environments.
- Monitor cloud environments and respond to security incidents using SIEM, SOAR, and cloud-native security tools.
- Collaborate with AI engineers and DevSecOps teams to integrate security into CI/CD pipelines.
- Lead compliance initiatives aligned with ISO 27001, SOC 2, NIST, GDPR, HIPAA, and other regulatory standards.
- Evaluate emerging AI security threats and recommend mitigation strategies.
- Mentor engineering teams on secure AI development and cloud security best practices.
Required Qualifications
- 10+ years of experience in Cloud Security, Cybersecurity, or Information Security.
- Strong hands-on experience with AWS, Azure, or Google Cloud security services.
- Experience securing AI/ML platforms, LLM applications, and Generative AI workloads.
- Strong understanding of IAM, PKI, encryption, secrets management, and Zero Trust architecture.
- Experience with container security, Kubernetes, Docker, and cloud-native security tools.
- Hands-on knowledge of DevSecOps, CI/CD security, Infrastructure as Code (Terraform/CloudFormation), and automation.
- Experience with security monitoring tools such as Splunk, Microsoft Sentinel, QRadar, or similar SIEM platforms.
- Knowledge of AI security risks including prompt injection, model poisoning, adversarial attacks, data leakage, and secure RAG implementations.
- Strong communication, stakeholder management, and leadership skills.
Preferred Qualifications
- AWS Certified Security Specialty
- Microsoft Certified: Azure Security Engineer Associate
- CISSP, CCSP, or CISM certification
- Experience with AI governance, Responsible AI, and model risk management.
- Knowledge of cloud compliance frameworks and security audits.
- Experience working in Financial Services, Healthcare, Life Sciences, or other regulated industries.
Top 3 Responsibilities
- Design and implement secure cloud architectures for AI and Generative AI platforms.
- Lead AI security governance, risk assessments, compliance, and incident response initiatives.
- Collaborate with engineering and DevSecOps teams to integrate security into AI development and deployment pipelines.