Sr Security Solutions Architect

Job Title: Sr Security Solutions Architect

Location: Remote, working US PST hours.

Duration: 3+ months, likely long term if they do well

Key Responsibilities

• Architecture & Design
  • Design end-to-end secure AI/ML solutions using Cisco AI Defender and NeMo frameworks.
  • Architect scalable, production-grade LLM and generative AI systems across hybrid and multi-cloud environments.
  • Define secure reference architectures for AI workloads, including data pipelines, model training, and inference layers.
• AI Security & Governance
  • Implement AI-specific security controls including model integrity, prompt injection defense, data leakage prevention, and adversarial attack mitigation.
  • Leverage Cisco AI Defender to monitor, detect, and respond to AI-related threats and anomalies.
  • Ensure alignment with enterprise security frameworks (NIST, ISO 27001, Zero Trust).
• Platform Engineering & Integration
  • Integrate NeMo and related libraries (NeMo Guardrails, Triton Inference Server, CUDA, TensorRT) into enterprise platforms.
  • Collaborate with DevOps and MLOps teams to operationalize AI models securely.
  • Build reusable architecture patterns and automation for AI deployment pipelines.
• Stakeholder Engagement
  • Partner with security, infrastructure, data science, and executive stakeholders to define AI strategy and roadmap.
  • Translate complex technical concepts into business-aligned solutions and risk considerations.
  • Lead technical workshops, design sessions, and architecture reviews.
• Risk, Compliance & Monitoring
  • Conduct threat modeling and risk assessments specific to AI/LLM deployments.
  • Establish observability and monitoring strategies for AI systems (model drift, misuse, anomalies).
  • Ensure compliance with regulatory and data privacy requirements. Required Qualifications
• 7+ years of experience in Solutions Architecture, Security Architecture, or AI/ML Engineering
• Deep hands-on experience with:
  • Cisco AI Defender (or equivalent AI security platforms)
  • NeMo ecosystem (NeMo, NeMo Guardrails, Triton, CUDA)
• Strong background in information security, including:
  • Zero Trust Architecture
  • Identity & Access Management (IAM)
  • Data protection and encryption
• Experience designing and deploying LLM / Generative AI solutions in enterprise environments
• Proficiency in cloud platforms (AWS, Azure, or Google Cloud Platform)
• Strong understanding of MLOps / DevSecOps practices Preferred Qualifications
• Experience with AI governance frameworks and responsible AI practices
• Familiarity with vector databases, RAG architectures, and model fine-tuning
• Certifications such as CISSP, CCSP, AWS/Azure Architect, or NVIDIA certifications