Deployed AI Infrastructure Architect

OpenTalent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OpenTalent seeks a Deployed Architect to join its Professional Services team in Singapore. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, blending software development, platform engineering, and customer-facing work.

Responsibilities include designing scalable infra, building multi-agent architectures, and guiding deployments with a strong engineering culture.

Qualifications

• 7+ years in technical, hands-on customer-facing roles such as Solutions Architect or Deployed Architect.
• Excellent customer-facing communication skills to explain technical concepts to diverse audiences.
• Experience working cross-functionally with engineering, product, and customers.
• Consultative approach to understanding customer needs and guiding implementation.
• Balance infrastructure architecture with agent development work.

Responsibilities

• Infrastructure & Platform Engineering: Design scalable, highly-available infra for AI deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR, and CI/CD pipelines.
• Agent Engineering & Development: Design multi-agent systems, implement agent logic with modern frameworks (langchain/langgraph), design evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations.
• Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand and present recommendations, and partner with Engagement Managers and Product/Engineering teams.

Skills

Customer-facing communication

Cross-functional collaboration

Hands-on development

Cloud infrastructure

Tools

Kubernetes

Terraform

Helm

Langchain/LM tools

Job description

OpenTalent seeks a Deployed Architect to join its Professional Services team in Singapore. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, blending software development, platform engineering, and customer-facing work.

Responsibilities include designing scalable infra, building multi-agent architectures, and guiding deployments with a strong engineering culture.