Technical Architect (AI & Data)

Location: Ho Chi Minh City, Vietnam; hybrid with two work-from-home days per week on Monday and Friday

Company

hirify.global is hiring for a client that creates practical AI and data solutions for vessel operations, business process automation, customer experience improvement, and specialized AI training.

What you will do

• Design, evolve, assess, and refactor scalable AI, data, and platform architectures aligned with technical strategy and business needs.
• Evaluate DevSecOps and FinOps maturity using KPIs, and promote infrastructure as code, secure-by-design development, cost awareness, and efficient cloud usage.
• Guide modern data architecture implementation and oversee monitoring, logging, tracing, health checks, and SLA tracking.
• Act as the technical interface for clients, translating architecture decisions and complex technical concepts for technical and non-technical stakeholders.
• Improve engineering practices through CI/CD, automated testing, AI/ML workflow automation, and automation-first delivery pipelines.
• Mentor engineering teams, provide architectural direction across initiatives, and coordinate technical alignment with architects and stakeholders.

Requirements

• Strategic, autonomous, self-driven, and able to operate with strong technical authority and minimal supervision.
• Strong communication skills, with the ability to adapt communication to engineering teams, PMO, clients, and C-level stakeholders.
• Hands-on GCP experience with Vertex AI Pipelines, GKE, Cloud Build, Artifact Registry, and VPC/networking.
• Production-scale Terraform proficiency, including modules, state management, and drift detection.
• Experience designing CI/CD for ML workloads, not only application pipelines.
• Strong container and orchestration experience with Docker, Helm, and Kubernetes operators.
• Experience with secret management, IAM design, and workload identity federation.
• Experience with FinOps tooling, including GCP billing export, budget alerts, and committed-use planning.
• Experience building or migrating platforms from scratch, working with multi-tenant or multi-project GCP organizations, and operating large-scale production platforms with incidents, post-mortems, and SLA accountability.

Nice to have

• Experience understanding and resolving scale-related production failure modes.
• Mentorship orientation and a strong focus on engineering enablement, learning, ownership, and quality.
• Ability to diplomatically challenge requests that create technical debt and escalate disagreements through appropriate channels.

Culture & Benefits

• Five-day Monday-to-Friday schedule with flexible hours focused on output.
• 12 days of annual leave plus seniority-based leave benefits.
• 13th-month salary, performance-based bonuses, and lunch and gasoline allowances.
• Social, health, and unemployment insurance based on gross salary, plus health insurance with seniority-based family extensions.
• Training in specialized and soft skills, including English, along with monthly social events, company trips, sports clubs, and annual health checks.