Teams at Safeguard Global

Build and operate agentic AI systems and features from prototype to production within a serverless AWS environment. Design orchestration, memory, durable state, failure recovery, and evaluation frameworks. Collaborate with product and domain engineers to identify AI opportunities, manage operational economics (latency, token cost), and contribute org-wide AI patterns, tooling, and standards.

Build and own the partner operating model: design partner data models and Salesforce/Crossbeam configurations, centralize partner data across systems, implement PRM strategy, create automation and AI workflows, and deliver partner reporting and commission/payment processes to scale partner performance and operations.

Design, build, and maintain secure, scalable AWS cloud platforms. Implement IaC, CI/CD, DevSecOps, SRE practices, ETL/data pipelines, and MLOps to support microservices, serverless, and AI/ML workloads while ensuring resiliency, security, and automation.