Senior AI Delivery Engineer

NTT
Ho Chi Minh City
Workplace: HybridFull timeFunction: Transportation & Fleet OperationsExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Troubleshooting","Collaboration","Production engineering","Quality focus"]

Design, develop, test, and deploy secure, scalable generative AI solutions in production. Build Gemini/Vertex AI applications and RAG pipelines, develop AI agents and enterprise copilots with API and workflow integrations, and perform model/prompt evaluation across quality, safety, latency, and cost. Operate solutions on Google Cloud (Vertex AI, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub) with CI/CD, observability, and incident response, collaborating across distributed teams to deliver measurable outcomes.

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FursaFursa
NTT
NTT
2 days ago

Senior AI Delivery Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Design, develop, test, and deploy secure, scalable generative AI solutions in production. Build Gemini/Vertex AI applications and RAG pipelines, develop AI agents and enterprise copilots with API and workflow integrations, and perform model/prompt evaluation across quality, safety, latency, and cost. Operate solutions on Google Cloud (Vertex AI, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub) with CI/CD, observability, and incident response, collaborating across distributed teams to deliver measurable outcomes.
Location: Ho Chi Minh City
Workplace: Hybrid
Employment Type: Full time
Job Function: Transportation & Fleet Operations
Seniority: Mid level

Key Responsibilities

  • •Design, develop, test, and deploy Generative AI applications and services using Gemini, Vertex AI, and suitable open-source or commercial models.
  • •Build RAG pipelines for ingestion, chunking, embeddings, indexing/retrieval, grounding, citations, evaluation, and access control.
  • •Develop AI agents and enterprise copilots integrating with APIs, business systems, tools, and workflow automation.
  • •Implement evaluation for models, prompts, and applications; investigate quality, hallucination, safety, latency, and cost issues; fine-tune/adapt models when justified.
  • •Deploy and operate solutions on Google Cloud, establishing CI/CD, testing, observability, release/rollback, and incident-response practices while collaborating with stakeholders across teams.

Pay and Benefits

Perks:Social InsuranceHealth InsuranceAnnual BonusPaid LeavePublic HolidaysLearning Budget

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
  • •At least 5 years of professional experience delivering software engineering, AI/ML, or data engineering solutions with substantial delivery experience.
  • •Hands-on experience delivering AI/Generative AI solutions into production (not limited to experimentation).
  • •Strong Python development skills, including API development with FastAPI or Flask, plus testing and maintainable code practices.
  • •Practical experience with LLMs and GenAI patterns including prompt engineering, RAG, embeddings/vector search, model evaluation, and agent/workflow patterns.
Experience:5+ yearsAI/ML engineeringData engineeringGenAILLMsGoogle Cloud
Education:Bachelor's in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline
Skills:CommunicationTroubleshootingCollaborationProduction engineeringQuality focus
Certifications:Google Cloud Professional Machine Learning EngineerGoogle Cloud Professional Data Engineer
Languages:English
Tech Stack:Google CloudVertex AIGeminiBigQueryCloud StorageCloud RunGKEPub/SubIAMPythonFastAPIFlaskREST APIsCI/CDCIObservabilityLLMOpsMLOpsDockerGCP

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn