{"id":1767597,"url":"https://alion.io/job/ntt-senior-ai-delivery-engineer","title":"Senior AI Delivery Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam","Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Hallucination","optional":false},{"name":"IAM","optional":false},{"name":"LoRA","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SFT","optional":false},{"name":"Vertex AI","optional":false},{"name":"Hugging Face","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Red Teaming","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-16T04:40:23Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"Make an impact with NTT DATA\nJoin 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.\nAbout NTT DATA\nNTT 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.\nAbout the Google Engineer Business\nThe 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.\nPosition Objective\nDeliver 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.\nKey Responsibilities\nDesign, develop, test, and deploy Generative AI applications and services using Gemini, Vertex AI, and suitable open-source or commercial models.\nBuild RAG pipelines covering document ingestion, chunking, embeddings, indexing, retrieval, grounding, citations, evaluation, and access control.\nDevelop AI agents and enterprise copilots that integrate with APIs, business systems, tools, and workflow automation.\nImplement model, prompt, and application evaluation; investigate quality, hallucination, safety, latency, and cost issues.\nFine-tune or adapt models where justified, using approaches such as supervised fine-tuning, LoRA, QLoRA, or PEFT, and document the trade-offs.\nIntegrate AI services with enterprise applications through Python services, REST APIs, event-driven patterns, and secure identity mechanisms.\nDeploy and operatesolutions on Google Cloud using Vertex AI, Cloud Run or GKE, BigQuery, Cloud Storage, Pub/Sub, and related services.\nBuild CI/CD, testing, observability, release, rollback, and incident-response practices for AI applications.\nCollaborate with solution architects, cloud engineers, technical engagement managers, customers, and distributed delivery teams.\nContribute reusable components, technical documentation, engineering standards, and mentoring forother engineers.\nEssential Qualifications\nThe recruitment profile requires a strong production engineering background together with practical Generative AI experience:\nBachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a relateddiscipline.\nAt least 5 years of professional experience in software engineering, AI/ML engineering, data engineering, or a relatedtechnical field, including substantial delivery experience.\nHands-on experience delivering AI or Generative AI solutions into production, not limited to experimentation or classroom projects.\nStrong Python development skills, including API development with FastAPI, Flask, or comparable frameworks, plus testing and maintainable code practices.\nPractical experience with LLMs, prompt engineering, RAG, embeddings, vector search, model evaluation, andagent or workflow patterns.\nStrong Google Cloud capability with Vertex AI and working knowledge of Gemini, BigQuery, Cloud Storage, Cloud Run or GKE, IAM, and monitoring.\nExperience with containers, CI/CD, version control, secure software delivery, and LLMOpsor MLOpspractices.\nAbility to diagnose production issues and balance quality, reliability, latency, security, and cost.\nProfessional English communication skills and experience collaborating with international or customer-facing teams.\nPreferred Qualifications\nExperience with Google Agent Development Kit, LangChain, LangGraph, Semantic Kernel, or comparable frameworks.\nExperience with fine-tuning libraries such as PEFT, TRL, or Hugging Face Transformers.\nGoogle Cloud Professional Machine Learning Engineer, Professional Data Engineer, or equivalent certification.\nExperience with responsible AI, red teaming, privacy, security controls, and enterprise data governance.\nEnglishlanguage proficiencyor experience supporting APAC-based stakeholders.\nSuccess Measures\nAI services are delivered on schedule and meet agreed quality, security, availability, latency, and cost targets.\nRAG, agent, and model-evaluation workflows produce measurable improvements in answer quality and user outcomes.\nProduction incidents are diagnosed and resolved with clear root-cause analysis and preventive actions.\nReusable engineering assets and documentation accelerate subsequentGoogle Engineer business engagements.\nBenefits and Working Conditions\nCompetitive compensation package, with 100% salary during probation, subject to company policy and the employment offer.\nFull social insurance contribution based on the applicable salary basis.\nAnnual performance bonus and salary review in line with company policy.\nPremium healthcare insurance for employees and eligible family members from probation, subject to policy.\nAnnual health check-up and access to company-sponsored training, professional courses, and certification examinations.\nPaid leave and public holidays in accordance withVietnamese regulations and NTT DATA Vietnam policy.\nHybrid working model, flexible start time with manager approval, and a global environment with international collaboration.\nClear career development opportunities in cloud engineering, AI delivery, solution architecture, and technical leadership.\nWorkplace type:\nAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT 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.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT 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. 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