Sr Security Solutions Architect (with Cisco AI Defender exp.)

About

• 3‑month contract with possible extension for a Sr Security Solutions Architect (with Cisco AI Defender experience) on a remote basis

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 GCP)
• 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