AI Solutions Architect

Canopy Aerospace & Defense is hiring an AI Solutions Architect to lead the architecture, implementation, and operationalization of generative AI and machine learning solutions. The role focuses on secure AI deployments, regulatory compliance, and collaboration with IT, cybersecurity, and business teams to support internal and manufacturing workflows.

Responsibilities:

• Design, build, and maintain production-ready AI/ML applications, Retrieval-Augmented Generation (RAG) pipelines, and intelligent automation tools for internal business and manufacturing workflows
• Integrate and fine-tune foundation models, specificallyGoogle Gemini (Gemini Pro/Flash via Vertex AI) and open-source models deployed in private VPCs/enclaves
• Build robust APIs, microservices, and orchestration connecting AI agents to enterprise IT systems (ERP, PLM, MES, and knowledge repositories)
• Design and implement zero-trust, isolated, and containerized deployment environments for AI workloads (Kubernetes, FedRAMP-authorized cloud, or on-prem/hybrid infrastructure)
• Implement strict data loss prevention (DLP), encryption in transit/at rest, role-based access control (RBAC), and sanitization to prevent unauthorized model training on proprietary CUI (Controlled Unclassified Information) or IP
• Ensure safeguards against prompt injection, data exfiltration, model poisoning, and hallucination risks
• Ensure all AI architectures and data pipelines comply withCMMC 2.0 (Level 2/3), NIST SP 800-171, NIST SP 800-53, and the NIST AI Risk Management Framework (AI RMF)
• Collaborate with the CISO and IT Compliance team to maintain audit trails, system security plans (SSPs), data lineage documentation, and compliance artifacts for AI systems
• Validate that third-party AI APIs and infrastructure adhere to ITAR, EAR, and FedRAMP High/Moderate requirements
• Partner with IT operations, software engineering, and business units to identify high-impact AI use cases (e.g., predictive maintenance, compliance documentation, drawing parsing, automated IT helpdesk)
• Provide technical guidance, best practice documentation, and training on safe, authorized internal AI usage