Security Architect - AI​/ML

San R&D Business Solutions LLC | Full time

New York, United States | Posted on 03/01/2026

Location: Pittsburgh, PA | Lake Mary, FL | New York, NY
Work Type: Onsite

Employment Type: Contract(C2C)

Visa Requirement: No OPT or H1B

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 forLLMs, GenAI tools, model pipelines, and agent-based systems. The architect will develop AI security architecture patterns, governance frameworks, and riskcontrols while guiding engineering and leadership teams on secure AI adoption.

• Design and implement security controls across AI/ML systems lifecycle.
• Develop secure architecture patternsfor LLMs, GenAI, and agent-based systems.
• Establish governance and risk management frameworks for AI solutions.
• Evaluate third-party AI services forsecurity and compliance risks.
• 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, andmodel behavior controls.
• Define AI security baselines aligned with Zero Trust principles.

• Secure MLOps and LLMOps pipelinesincluding CI/CD controls.
• Implement controls for modelversioning, artifact protection, and access governance.
• Integrate AI telemetry and monitoringinto enterprise security operations (SOC/SIEM).
• Ensure secure data pipelines and protection of training datasets.

• 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.

• 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
• Strong experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with AI governance andrisk frameworks:
• NIST 800-53
• NIST AI RMF
• FedRAMP
• FIPS 199/200
• MITRE ATLAS
• Excellent communication andcross-functional leadership skills.

• Experience integrating AI telemetryinto SOC/SIEM platforms.
• Background in Dev Sec Ops  and secure
  
  CI/CD pipeline architecture.
• Experience with enterprise data classification and DLP strategies.
• Industry security certifications(CISSP, CCSP, or equivalent).
• Experience working in regulatedindustries (financial services, healthcare, government).