Artificial Intelligence (AI) Security Solutions Architect

Sr. Security Solutions Architect

IT / Security Architecture

Location: Remote (US PST Hours)

Duration: Contract 3+ Months (Strong Potential for Extension)

About Our Client

Our client is a globally recognized technology solutions provider and systems integrator, working with some of the world's largest enterprises and government organizations. They operate at the forefront of infrastructure, security, and emerging technology helping clients design, build, and manage complex IT environments at scale. With a deep bench of technology partnerships and a strong culture of innovation, they move fast and expect their people to do the same. This is a contractor role placed through Catapult Solutions Group and assigned to a third-party customer of World Wide Technology (WWT).

Job Description

The Sr. Security Solutions Architect will serve as a senior technical resource responsible for designing and delivering secure AI/ML solutions across enterprise environments. This is a high-impact, highly visible role sitting at the intersection of AI engineering and information security the kind of work that doesn't exist at most companies yet. You'll architect production-grade LLM and generative AI systems, implement AI-specific security controls, and define the reference architectures that teams will build on for years.

Day-to-day, you'll partner with security, infrastructure, data science, and executive stakeholders to translate complex technical requirements into business-aligned solutions. You'll lead workshops, drive architecture reviews, and build reusable patterns that operationalize AI securely across hybrid and multi-cloud environments. This is not a theoretical role hands-on experience with Cisco AI Defender and the NeMo ecosystem is a must.

The right candidate brings 7+ years of solutions or security architecture experience, thinks in systems, communicates clearly at every level of an organization, and has a genuine passion for the rapidly evolving world of AI security and governance.

Duties & Responsibilities

• 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
• 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 including NIST, ISO 27001, and Zero Trust
• 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
• 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
• Conduct threat modeling and risk assessments specific to AI/LLM deployments
• Establish observability and monitoring strategies for AI systems including model drift, misuse, and anomaly detection
• Ensure compliance with regulatory and data privacy requirements

Required Experience & Skills

• 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
• Deep hands-on experience with the NeMo ecosystem including NeMo Guardrails, Triton Inference Server, CUDA, and TensorRT
• Strong background in information security including Zero Trust Architecture, Identity & Access Management (IAM), and data protection/encryption
• Demonstrated experience designing and deploying LLM and Generative AI solutions in enterprise environments
• Proficiency in cloud platforms AWS, Azure, or Google Cloud Platform
• Strong understanding of MLOps and DevSecOps practices
• Excellent communication and stakeholder engagement skills across technical and executive audiences

Nice-to-Haves

• Experience with AI governance frameworks and responsible AI practices
• Familiarity with vector databases, RAG architectures, and model fine-tuning
• CISSP, CCSP, AWS/Azure Solutions Architect, or NVIDIA certifications
• Experience working within large enterprise or systems integrator environments

Education

Bachelor's degree in Computer Science, Information Security, Engineering, or a related field preferred. Equivalent professional experience will be considered.