Technical Architect (AI & Data)

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.