Sr. Security Solutions Architect
IT / Security Architecture | Remote (US PST Hours) | 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 GCP
- 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.
Pay & Details
- Pay rate: $120/hour
- Contract duration: 3+ months with strong likelihood of extension based on performance
- Location: Fully remote — must be available to work US Pacific Standard Time (PST) hours
- Work authorization accepted: US Citizen, Green Card, TN, H-1B, E-3, H4-EAD, L2-EAD, OPT-EAD, CPT-EAD, TPS-EAD, STEM-EAD
Ready to Apply?
If you''re an experienced security architect who''s ready to shape how enterprises secure their AI future — let''s talk. Apply now and let''s start the conversation.
Sr. Security Solutions Architect | Cisco AI Defender | NeMo | LLM Security | Generative AI | Zero Trust | MLOps | DevSecOps | Remote | Contract | WWT | AI Governance | Cloud Security | AWS | Azure | GCP
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