11 hours ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamStaff+
Responsibilities
- Own end-to-end architecture for AI, Generative AI, data, integration, and cloud-native solutions.
- Translate business and customer requirements into architectures, solution blueprints, estimates, roadmaps, and technical decisions.
- Design production-ready LLM, RAG, agent, multimodal, document intelligence, and workflow automation solutions.
- Define requirements for security, privacy, reliability, scalability, latency, maintainability, and cost efficiency.
- Lead architecture and design reviews, technical proposals, code-quality governance, and production-readiness assessments.
- Guide PoC-to-production transitions, including evaluation, guardrails, CI/CD, monitoring, incident readiness, and operational ownership.
- Mentor AI, cloud, and software engineers and remove blockers across distributed teams.
- Lead customer-facing technical discussions, architecture workshops, solution proposals, and delivery decisions.
- Identify delivery risks and opportunities for reusable platforms, accelerators, and engineering standards.
Requirements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
- At least 8 years of professional experience in solution architecture, software engineering, AI/ML engineering, cloud architecture, or a closely related field, including significant technical leadership experience.
- Hands-on delivery of enterprise AI or Generative AI solutions from architecture and proof of concept through production operation.
- Strong Google Cloud and Vertex AI experience, including familiarity with Gemini, BigQuery, Cloud Run or GKE, IAM, networking, data services, and observability.
- Deep understanding of LLM application patterns, RAG, embeddings, vector search, agent orchestration, prompt engineering, model evaluation, safety controls, and AI governance.
- Strong Python software engineering fundamentals and API or microservice design experience.
- Experience leading customer-facing technical discussions and collaborating with international, distributed teams.
- Professional English communication skills.
- Preferred: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer, or equivalent certification.
- Preferred: experience with Google Agent Development Kit, TensorFlow, JAX, LangChain, LangGraph, responsible AI, security architecture, data governance, FinOps, or regulated enterprise environments.
Benefits
- Competitive compensation package with 100% salary during probation, subject to company policy and the employment offer.
- Full social insurance contribution based on the applicable salary basis, annual performance bonus, and salary review.
- Premium healthcare insurance for employees and eligible family members from probation, subject to policy.
- Annual health check-up, paid leave, public holidays, company-sponsored training, professional courses, and certification examinations.
- Hybrid working model with flexible start time between 07:45 and 09:00 with manager approval.
- Monday–Friday schedule from 08:00–12:00 and 13:00–17:00, with offices in Hanoi and Ho Chi Minh City, Vietnam.
- Career development opportunities in cloud engineering, AI delivery, solution architecture, and technical leadership.
- Global environment with international collaboration.
Tech Stack
Categories
Solutions Engineering