Senior AI Delivery Engineer
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What you'll do
- 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.
What they're looking for
- 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.
Nice to have
- 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.
- English language proficiency or experience supporting APAC-based stakeholders.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
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.
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.
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 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.
Essential Qualifications
The recruitment profile requires a strong production engineering background together with practical Generative AI experience:
• 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.
• English language proficiency or experience supporting APAC-based stakeholders.
Success Measures
• AI services are delivered on schedule and meet agreed quality, security, availability, latency, and cost targets.
• RAG, agent, and model-evaluation workflows produce measurable improvements in answer quality and user outcomes.
• Production incidents are diagnosed and resolved with clear root-cause analysis and preventive actions.
• Reusable engineering assets and documentation accelerate subsequent Google Engineer business engagements.
Benefits and Working Conditions
• 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 in line with company policy.
• Premium healthcare insurance for employees and eligible family members from probation, subject to policy.
• Annual health check-up and access to company-sponsored training, professional courses, and certification examinations.
• Paid leave and public holidays in accordance with Vietnamese regulations and NTT DATA Vietnam policy.
• Hybrid working model, flexible start time with manager approval, and a global environment with international collaboration.
• Clear career development opportunities in cloud engineering, AI delivery, solution architecture, and technical leadership.
Workplace type:
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
Global 100. We are committed to accelerating client success and positively impacting society through
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
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