Artificial Intelligence Architect

📋 Description

• Own the solution architecture of client AI work and lead the team’s technical design from strategy
• Translate client strategies into build-ready reference architectures with components, data flows
• Design agent-first and conventional architectures, including multi-agent orchestration and
• Be the client-facing technical lead, translating business needs into architecture for executives

🎯 Requirements

• Approximately 6–10 years in technical delivery, solution/enterprise/data/cloud architecture, and AI
• Hands-on experience with production generative AI/agentic systems, orchestration
• Experience guiding client-facing architecture sessions with CTOs, DAs, security/risk leaders, and
• Deep understanding of agentic vs deterministic design patterns and governance controls.
• Strong cloud experience (Azure, AWS, GCP) and familiarity with managed AI platforms (Azure OpenAI
• Knowledge of data residency, security, model risk, and enterprise integration patterns.

🎁 Benefits

• Data & AI practice leadership opportunities within a global firm.
• Hybrid work arrangement in Singapore with APAC travel for client work.
• Equal opportunity employer with commitment to governance and audit-ready AI solutions.