About the role
We're hiring this role for our client, who focuses on creating practical, real-world solutions. Its core activities include optimizing vessel operations, automating business processes, enhancing customer experiences, and providing specialized AI training to help companies transition from experimental concepts to full-scale digital implementation.
TECHNICAL ARCHITECT (AI & DATA)
Job Location: HCMC, Vietnam
Job Presence: Hybrid
ABOUT THE ROLE
The Technical Architect plays a strategic and hands-on leadership role within the organization, driving the design, evolution, and delivery of scalable and sustainable architectures across AI and data-driven projects. Operating with a high degree of independence and technical authority, the TA contributes to the organization’s transformation from a research-centric entity into a mature, production-grade, end-to-end delivery organization.
KEY RESPONSIBILITIES
1 - Architecture Leadership
- Design and evolve system architectures for AI, data, and platform components with scalability, performance, and maintainability in mind. - Continuously assess and refactor architectures to align with changing business needs, technical innovations, and organizational maturity. - Ensure alignment with the company’s broader technical strategy and architectural standards.
2 - DevSecOps & FinOps Maturity Validation
- Evaluate and validate maturity across DevSecOps and FinOps practices using defined checklists and KPIs. - Champion infrastructure-as-code, secure-by-design, cost-aware development, and efficient cloud resource usage.
3 - Data Architecture & System Health
- Review, enhance, and guide the implementation of modern data architectures. - Oversee system monitoring, logging, tracing, and health checks to meet operational excellence standards. - Define and track SLAs ensuring client agreements are technically respected.
4 - Technical Client Interaction
- Act as the technical interface with clients for architecture-related matters, aligning solutions with client expectations and constraints. - Translate complex technical concepts into clear communication for both technical and non-technical stakeholders.
5 - Engineering Excellence & Automation
- Assess team engineering practices, identify gaps, and drive adoption of modern practices such as CI/CD, automated testing, and AI/ML workflow automation. - Promote automation-first principles and reduce manual overhead in delivery pipelines.
6 - Proactive Leadership & Mentorship
- Lead by example, without reliance on direct supervision or micromanagement. - Continuously mentor and upskill engineering teams, fostering a culture of learning, ownership, and quality. - Provide architectural guidance and technical direction across multiple teams and initiatives.
7 - Strategic Coordination & Collaboration
- Collaborate closely with fellow Technical Architects and key stakeholders to ensure cross-project consistency and technical alignment. - Contribute to the long-term technical vision and participate in strategic planning initiatives.
QUALIFICATIONS & SKILLS
Expected Qualities
- Strategic mindset with the ability to see the bigger picture and drive long-term value. - Self-driven and autonomous, able to operate without handholding. - Strong communicator, able to bridge the gap between technical teams and business needs. - Mentorship-oriented, fostering engineering growth across teams. - Always learning, keeping pace with technology shifts and applying them responsibly.
Technical (must-have)
- Hands-on GCP: Vertex AI pipelines, GKE, Cloud Build, Artifact Registry, VPC/networking - IaC proficiency – Terraform at production scale (modules, state management, drift detection) - CI/CD design for ML workloads – not just app pipelines - Container and orchestration maturity (Docker, Helm, Kubernetes operators) - Secret management, IAM design, workload identity federation - FinOps tooling – GCP billing export, budget alerts, committed use planning
Experience signals
- Has built or migrated a platform from scratch, not just maintained one - Experience in multi-tenant or multi-project GCP org structure - Has operated and supported large-scale production platforms – not just built them. Has handled incidents, written post-mortems, and carried SLA accountability under real pressure - Understands what breaks at scale because they’ve experienced it, not modeled it
Soft requirements
- Thinks in enablement – measures success by how fast teams can ship, not by personal output - Comfortable saying “not yet” to teams requesting platform features that create tech debt - Diplomatically firm – can push back on clients, pillar heads, or C-level without triggering conflict or damaging relationships - Adjusts communication depth and tone by audience (technical team vs. PMO vs. client vs. C-level) - Escalates disagreements through the right channel, not by winning arguments in the room
WHY YOU’LL LOVE WORKING WITH US
Flexible Hours: 5 working days/week (Mon-Fri) with a focus on output, not clock-watching.
Hybrid Model: 2 days WFH per week (Monday & Friday)
Generous Leave: 12 days annual leave + special seniority benefits.
Allowances: Lunch and gasoline support.
Competitive Income: 13th-month salary + Performance-based bonuses.
Full Insurance: Social, Health, and Unemployment insurance based on Gross Salary.
Premium Care: Health Insurance for you, with seniority-based extension to family members.
Learning Culture: Training for specialized skills, soft skills, and English.
Engagement: Monthly Happy Hours, Company Trips, and vibrant Sport Clubs (Soccer, Yoga, Badminton).
Well-being: Annual health check-ups and a supportive, collaborative environment.
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