Cyber Security Engineer with Agentic AI- Local to MA

Role: Cyber Security Engineer with Agentic AI
Location Boston, MA (3 days/week onsite)
Exp: 10+
Duration: Long Term
Interview: A virtual + F2F interview is required

Note: Need only local to MA

Looking for someone experienced with Artificial Intelligence Security This is different then traditional cybersecurity.
Most traditional cyber security is focused on protecting against external threats. This will combine both external, and internal threats (threats that could happen internally with their own AI systems)

We are seeking an experienced AI Security Engineer with strong expertise in cloud security, data platforms, and AI/ML governance to support enterprise-scale initiatives focused on securing modern data and artificial intelligence environments. This role will play a key part in designing, implementing, and maintaining secure architectures across AWS and Snowflake while ensuring compliance, governance, and protection of sensitive data used in AI and machine learning workflows.

The ideal candidate will have hands-on experience with AWS security services, Snowflake platform security, IAM, data protection, threat detection, and securing AI/ML pipelines in cloud-native environments.

Responsibilities
Design and implement security controls for AI/ML platforms and cloud-based data environments
Secure AWS infrastructure including networking, IAM, storage, compute, and serverless services
Implement and manage Snowflake security features including RBAC, masking policies, row-level security, encryption, and data governance
Develop security architectures for AI and machine learning workflows, including model training, inference, and data pipelines
Conduct security assessments, vulnerability analysis, and risk evaluations across cloud and AI environments
Monitor and respond to cloud security incidents using SIEM, logging, and monitoring tools
Collaborate with data engineering, DevOps, and AI/ML teams to integrate security best practices into CI/CD pipelines
Ensure compliance with enterprise security standards and regulatory requirements
Implement secrets management, key management, and secure API integrations
Support governance initiatives related to data privacy, AI model security, and responsible AI practices
Automate security controls and compliance checks using Infrastructure as Code (IaC) and scripting

Required Qualifications
5+ years of experience in cybersecurity, cloud security, or security engineering
Strong hands-on experience with AWS cloud services and security tools
Experience securing Snowflake environments in enterprise settings
Knowledge of AI/ML security concepts including data poisoning, model protection, and secure AI pipelines

Experience with:
AWS IAM, GuardDuty, Security Hub, CloudTrail, KMS, WAF, and VPC security
Snowflake RBAC, data masking, encryption, and governance frameworks
Terraform, CloudFormation, or Infrastructure as Code tools
Python, Bash, or PowerShell scripting
CI/CD security integration and DevSecOps practices
Understanding of security frameworks such as NIST, ISO 27001, SOC 2, or CIS benchmarks
Experience with SIEM, logging, and monitoring platforms
Strong troubleshooting and communication skills

Preferred Qualifications
Experience securing Generative AI or LLM-based applications
AWS certifications such as AWS Security Specialty or Solutions Architect
Snowflake certifications preferred
Experience with container security, Kubernetes, and microservices architectures
Familiarity with data governance and compliance requirements including GDPR, HIPAA, or PCI