Job Title: Security Architect AI/ML
Location: Pittsburgh PA Lake Mary FL New York NY
Work Type: Onsite
Employment Type: Contract (C2C)
Visa Requirement: No OPT or H1B
About the Role:
The Security Architect AI/ML leads the design and implementation of security controls across the full AI/ML lifecycle including data ingestion model training deployment and operational monitoring. This role establishes secure-by-design standards for LLMs GenAI tools model pipelines and agent-based systems. The architect will develop AI security architecture patterns governance frameworks and risk controls while guiding engineering and leadership teams on secure AI adoption.
Key Responsibilities:
AI/ML Security Architecture
- Design and implement security controls across AI/ML systems lifecycle.
- Develop secure architecture patterns for LLMs GenAI and agent-based systems.
- Establish governance and risk management frameworks for AI solutions.
- Evaluate third-party AI services for security and compliance risks.
Threat Modeling & Risk Management
- Conduct AI-specific threat modeling (prompt injection data poisoning model extraction adversarial attacks).
- Lead AI red teaming exercises and security validation testing.
- Implement guardrails monitoring and model behavior controls.
- Define AI security baselines aligned with Zero Trust principles.
Secure MLOps / LLMOps
- Secure MLOps and LLMOps pipelines including CI/CD controls.
- Implement controls for model versioning artifact protection and access governance.
- Integrate AI telemetry and monitoring into enterprise security operations (SOC/SIEM).
- Ensure secure data pipelines and protection of training datasets.
Compliance & Governance
- Align AI systems with regulatory and privacy requirements.
- Implement controls aligned with FedRAMP NIST 800-53 NIST AI RMF FIPS 199/200 and MITRE ATLAS.
- Produce architecture documentation security standards and policies.
- Provide strategic guidance to engineering and executive leadership.
Required Skills & Qualifications:
- 10 years of experience in Security Architecture or related cybersecurity roles.
- Strong hands-on experience securing AI/ML systems and cloud-native environments.
- Deep knowledge of:
- AI/ML lifecycle security
- LLM and Generative AI risk mitigation
- Threat modeling for AI systems
- Data security and privacy controls
- Experience defending against:
- Prompt injection
- Data poisoning
- Model extraction
- Adversarial ML attacks
- Strong experience with cloud platforms (AWS Azure or GCP).
- Familiarity with AI governance and risk frameworks:
- NIST 800-53
- NIST AI RMF
- FedRAMP
- FIPS 199/200
- MITRE ATLAS
- Excellent communication and cross-functional leadership skills.
Preferred Qualifications:
- Experience integrating AI telemetry into SOC/SIEM platforms.
- Background in DevSecOps and secure CI/CD pipeline architecture.
- Experience with enterprise data classification and DLP strategies.
- Industry security certifications (CISSP CCSP or equivalent).
- Experience working in regulated industries (financial services healthcare government).
Job Title: Security Architect AI/MLLocation: Pittsburgh PA Lake Mary FL New York NY Work Type: OnsiteEmployment Type: Contract (C2C)Visa Requirement: No OPT or H1BAbout the Role: The Security Architect AI/ML leads the design and implementation of security controls across the full AI/ML lifecycle...
Job Title: Security Architect AI/ML
Location: Pittsburgh PA Lake Mary FL New York NY
Work Type: Onsite
Employment Type: Contract (C2C)
Visa Requirement: No OPT or H1B
About the Role:
The Security Architect AI/ML leads the design and implementation of security controls across the full AI/ML lifecycle including data ingestion model training deployment and operational monitoring. This role establishes secure-by-design standards for LLMs GenAI tools model pipelines and agent-based systems. The architect will develop AI security architecture patterns governance frameworks and risk controls while guiding engineering and leadership teams on secure AI adoption.
Key Responsibilities:
AI/ML Security Architecture
- Design and implement security controls across AI/ML systems lifecycle.
- Develop secure architecture patterns for LLMs GenAI and agent-based systems.
- Establish governance and risk management frameworks for AI solutions.
- Evaluate third-party AI services for security and compliance risks.
Threat Modeling & Risk Management
- Conduct AI-specific threat modeling (prompt injection data poisoning model extraction adversarial attacks).
- Lead AI red teaming exercises and security validation testing.
- Implement guardrails monitoring and model behavior controls.
- Define AI security baselines aligned with Zero Trust principles.
Secure MLOps / LLMOps
- Secure MLOps and LLMOps pipelines including CI/CD controls.
- Implement controls for model versioning artifact protection and access governance.
- Integrate AI telemetry and monitoring into enterprise security operations (SOC/SIEM).
- Ensure secure data pipelines and protection of training datasets.
Compliance & Governance
- Align AI systems with regulatory and privacy requirements.
- Implement controls aligned with FedRAMP NIST 800-53 NIST AI RMF FIPS 199/200 and MITRE ATLAS.
- Produce architecture documentation security standards and policies.
- Provide strategic guidance to engineering and executive leadership.
Required Skills & Qualifications:
- 10 years of experience in Security Architecture or related cybersecurity roles.
- Strong hands-on experience securing AI/ML systems and cloud-native environments.
- Deep knowledge of:
- AI/ML lifecycle security
- LLM and Generative AI risk mitigation
- Threat modeling for AI systems
- Data security and privacy controls
- Experience defending against:
- Prompt injection
- Data poisoning
- Model extraction
- Adversarial ML attacks
- Strong experience with cloud platforms (AWS Azure or GCP).
- Familiarity with AI governance and risk frameworks:
- NIST 800-53
- NIST AI RMF
- FedRAMP
- FIPS 199/200
- MITRE ATLAS
- Excellent communication and cross-functional leadership skills.
Preferred Qualifications:
- Experience integrating AI telemetry into SOC/SIEM platforms.
- Background in DevSecOps and secure CI/CD pipeline architecture.
- Experience with enterprise data classification and DLP strategies.
- Industry security certifications (CISSP CCSP or equivalent).
- Experience working in regulated industries (financial services healthcare government).
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