AI-Driven Developer Tooling Architect

United States Digital Space LLC; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC seeks a Solutions Architect to own the end-to-end architecture of AI-powered developer tooling and agentic platforms. You will define technical vision, standards, and ADRs, bridging data, model layers, APIs, and orchestration to deliver scalable, secure systems in a regulated financial environment.

You will lead architecture decisions, mentor engineers, and collaborate with business, security, compliance, and infrastructure teams to ensure alignment with

Qualifications

• 12+ years of software engineering experience, including at least 3 years in a Solution Architect, Technical Architect, or Technical Lead capacity.
• Proven ownership and successful delivery of end-to-end system architecture in production environments, spanning data, application, integration, and infrastructure layers.
• Strong experience designing and implementing AI/LLM-powered solutions, including Retrieval-Augmented Generation (RAG), agentic workflows, orchestration, tool calling, model selection, evaluation frameworks, and AI guardrails.
• Hands-on practitioner with AI development tools, coding assistants, and agent frameworks, with expertise in prompt engineering and context management.
• Deep understanding of cloud-native and distributed systems architecture across AWS, Azure, and/or GCP.
• Experience designing and deploying microservices-based applications using containerization technologies such as Docker and Kubernetes, with a strong grasp of API-first and event-driven architecture patterns.
• Demonstrated track record of applying AI and Large Language Models (LLMs) in real-world systems, supported by production deployments, projects, portfolio work, or other practical examples.

Responsibilities

• Own the end-to-end architecture - from data and model layers through APIs, orchestration, integration, and delivery - for AI-powered developer tooling and agentic platforms.
• Define the technical vision, reference architectures, and standards that engineering teams build against; make and document key design decisions (ADRs).
• Design agentic and LLM-based systems: model selection, retrieval (RAG), tool/function calling, orchestration, evaluation, and guardrails.
• Architect for non-functional requirements - scalability, latency, cost, resilience, observability - and for the security, privacy, and auditability required in a regulated financial environment.
• Lead platform-integration decisions; evaluate AI models, frameworks, and vendors.
• Guide and mentor engineers, review designs and code, and ensure implementation stays true to the intended architecture.
• Partner with stakeholders across business, security, compliance, and infrastructure to align the architecture with organizational goals and constraints.
• Use AI tooling hands-on to prototype, validate patterns, and set the standard for how teams should apply AI day to day.

Job description

United States Digital Space LLC seeks a Solutions Architect to own the end-to-end architecture of AI-powered developer tooling and agentic platforms. You will define technical vision, standards, and ADRs, bridging data, model layers, APIs, and orchestration to deliver scalable, secure systems in a regulated financial environment.

You will lead architecture decisions, mentor engineers, and collaborate with business, security, compliance, and infrastructure teams to ensure alignment with