AI-Native SDLC Architect & Forward-Deployed Engineer

UST; Kuala Lumpur; On-site; MYR 250,000 - 420,000; Full time

Job summary

UST is seeking an experienced AI-SDLC Architect (FDE) to help enterprise engineering teams transform traditional software development lifecycles into AI-native, agentic development workflows. The role combines expertise in AI-powered software engineering, platform architecture, CI/CD, and stakeholder engagement to drive AI-assisted development at scale.

Responsibilities include architecting AI-native SDLC workflows, designing AI coding agent architectures, and defining governance models for AI

Qualifications

• 12–15 years of software engineering or architecture experience.
• Hands-on with AI development tools such as GitHub Copilot, Copilot CLI, Claude Code, VS Code AI extensions.
• Experience implementing spec-driven development with SpecKit, OpenSpec, or BMD.
• Strong knowledge of AI artifact management, FinOps, and AI guardrails.
• Experience designing agent memory management and multi-agent orchestration.
• Proven expertise in architecting AI-native delivery platforms for enterprises.
• Strong knowledge of FastAPI or similar API frameworks.
• Experience with Azure OpenAI, Amazon Bedrock, or similar AI gateway architectures.
• Expertise in Terraform and CI/CD with GitHub Actions.

Responsibilities

• Architect and implement AI-native SDLC workflows from specification-driven development to deployment.
• Design and deploy AI coding agent architectures integrated with enterprise pipelines and cloud platforms.
• Define reference architectures, blueprints, and governance models for AI-assisted software delivery.
• Build scalable, secure CI/CD pipelines with AI tooling, security controls, and quality gates.
• Collaborate with client engineering teams to drive adoption of agentic development practices.
• Provide technical leadership, design reviews, and best practices for AI-enabled software engineering.

Job description

UST is seeking an experienced AI-SDLC Architect (FDE) to help enterprise engineering teams transform traditional software development lifecycles into AI-native, agentic development workflows. The role combines expertise in AI-powered software engineering, platform architecture, CI/CD, and stakeholder engagement to drive AI-assisted development at scale.

Responsibilities include architecting AI-native SDLC workflows, designing AI coding agent architectures, and defining governance models for AI