Senior AI Delivery Engineer (HN/HCM)

About the job

About NTT DATA

NTT DATA is a global innovator of business and technology services, supporting clients with consulting, cloud, data, artificial intelligence, applications, infrastructure, and managed services. Our international delivery network combines engineering capability, industry knowledge, and a strong partner ecosystem to help clients innovate and transform with confidence.

About the Google Engineer Business

The Google Engineer business delivers engineering and technology services for Google-oriented cloud, AI, data, and enterprise programs. The team works across NTT DATA delivery centers, customer organizations, and Google-aligned technical stakeholders to build secure, scalable, reliable, and production-ready solutions. This role contributes directly to that business by combining strong engineering practice with disciplined customer and delivery collaboration.

About the job:

Build, integrate, deploy, and operate production-grade AI and Generative AI services for the Google Engineer business. The role is responsible for turning model and platform capabilities into reliable customer outcomes on Google Cloud.

Position Objective:

Deliver secure, scalable, and measurable AI solutions using Google Cloud, Vertex AI, Gemini, and modern software engineering practices. This role covers the full engineering lifecycle: solution implementation, model and prompt evaluation, enterprise integration, production deployment, monitoring, troubleshooting, and continuous optimization.

1/ JOB DESCRIPTION

• Design, develop, test, and deploy Generative AI applications and services using Gemini, Vertex AI, and suitable open-source or commercial models.
• Build RAG pipelines covering document ingestion, chunking, embeddings, indexing, retrieval, grounding, citations, evaluation, and access control.
• Develop AI agents and enterprise copilots that integrate with APIs, business systems, tools, and workflow automation.
• Implement model, prompt, and application evaluation; investigate quality, hallucination, safety, latency, and cost issues.
• Fine-tune or adapt models where justified, using approaches such as supervised fine-tuning, LoRA, QLoRA, or PEFT, and document the trade-offs.
• Integrate AI services with enterprise applications through Python services, REST APIs, event-driven patterns, and secure identity mechanisms.
• Deploy and operate solutions on Google Cloud using Vertex AI, Cloud Run or GKE, BigQuery, Cloud Storage, Pub/Sub, and related services.
• Build CI/CD, testing, observability, release, rollback, and incident-response practices for AI applications.
• Collaborate with solution architects, cloud engineers, technical engagement managers, customers, and distributed delivery teams.
• Contribute reusable components, technical documentation, engineering standards, and mentoring for other engineers.

2/ QUALIFICATIONS AND EXPERIENCE

Essential Qualifications:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
• At least 5 years of professional experience in software engineering, AI/ML engineering, data engineering, or a related technical field, including substantial delivery experience.
• Hands-on experience delivering AI or Generative AI solutions into production, not limited to experimentation or classroom projects.
• Strong Python development skills, including API development with FastAPI, Flask, or comparable frameworks, plus testing and maintainable code practices.
• Practical experience with LLMs, prompt engineering, RAG, embeddings, vector search, model evaluation, and agent or workflow patterns.
• Strong Google Cloud capability with Vertex AI and working knowledge of Gemini, BigQuery, Cloud Storage, Cloud Run or GKE, IAM, and monitoring.
• Experience with containers, CI/CD, version control, secure software delivery, and LLMOps or MLOps practices.
• Ability to diagnose production issues and balance quality, reliability, latency, security, and cost.
• Professional English communication skills and experience collaborating with international or customer-facing teams.

Preferred Qualifications

• Experience with Google Agent Development Kit, LangChain, LangGraph, Semantic Kernel, or comparable frameworks.
• Experience with fine-tuning libraries such as PEFT, TRL, or Hugging Face Transformers.
• Google Cloud Professional Machine Learning Engineer, Professional Data Engineer, or equivalent certification.
• Experience with responsible AI, red teaming, privacy, security controls, and enterprise data governance.
• Experience supporting APAC-based stakeholders.

3/ BENEFITS

• Competitive salary package with 100% salary during probation
• Full social insurance contribution based on your actual salary
• Annual performance bonus and salary review.
• Premium healthcare insurance for employees and eligible family members from probation.
• Annual health check-up.
• Company-sponsored training programs, professional courses, and certification exams.
• Generous leave policy with 36+ paid leave days per year (annual leave, medical leave, exam leave, etc.) and public holidays in accordance with regulations.
• Hybrid working model and flexible working hours.
• Global working environment with opportunities to collaborate with international teams.
• Clear career development roadmap and long-term growth opportunities.
• Supportive culture that promotes work-life balance.

4/ WORK SCHEDULE:

• Monday to Friday, 08:00 – 12:00 and 13:00 – 17:00.
• Hybrid working mode (up to 2 days/week)
• Flexible start hours between 7:45 AM and 9:00 AM with manager approval.

5/ WORK LOCATIONS:

• Hanoi Office: 2nd Floor, HITC Building, 239 Xuan Thuy Street, Dich Vong Hau Ward, Hanoi
• Ho Chi Minh City: Opal Office Tower, 92 Nguyen Huu Canh Street, Ho Chi Minh City.