Source description
About the role
• Define and evolve the technical architecture for Caseware’s AI platform, following architectural standards, contracts, and design principles that enable scalable, secure, reusable, and trustworthy AI capabilities across multiple teams. • Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic workflows, and AI-enabled services, including multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-inthe-loop AI capabilities. • Design and implement evaluation, governance, auditability, and traceability frameworks that ensure AI systems are measurable, explainable, compliant, and continuously improving. • Evaluate emerging AI technologies, models, frameworks, and cloud capabilities. • Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions. • Drive reliability, observability, monitoring, alerting, and incident response practices across AI systems and platforms. • Ensure systems are resilient, scalable, cost-effective, and operationally efficient in production environments. • Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to deliver business value. • Act as a trusted software engineer, helping teams succeed through collaboration, influence, and shared ownership.
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