{"id":2669593,"url":"https://alion.io/job/ntt-data-lead-ai-solution-architect","title":"Lead AI Solution Architect","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":989},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","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":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"FinOps","optional":true},{"name":"JAX","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-17T19:22:12Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"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\nLead the design and delivery of enterprise-grade AI and Generative AI solutions using Google Cloud and Vertex AI capabilities. Translate customer and business objectivesinto secure, scalable architectures; guide engineering teams through implementation; and ensure that research and proof-of-concept work becomes reliable, supportable production service.\nKey Responsibilities\nOwn end-to-end architecture for AI, GenAI, data, integration, and cloud-native solutions in Google Engineer business engagements.\nTranslate business requirements and customer priorities into reference architectures, solution blueprints, estimates, delivery roadmaps, and technical decisions.\nDesign production-ready LLM, RAG, agent, multimodal, document intelligence, and workflow automation solutions.\nApply Google Cloud and Vertex AI services such as Gemini, BigQuery, Cloud Storage, Cloud Run, GKE, Pub/Sub, Dataflow, Vertex AI Pipelines, Model Registry, IAM, and observability services where appropriate.\nDefine non-functional requirements for security, privacy, reliability, scalability, latency, maintainability, and cost efficiency.\nLead architecture reviews, design reviews, technical proposals, code-quality governance, and production-readiness assessments.\nGuide the transition from research or PoC to production, including evaluation, guardrails, CI/CD, monitoring, incident readiness, and operational ownership.\nMentor AI, cloud, and software engineers; facilitatetechnical decisions; and remove engineering blockers across distributed teams.\nCommunicate technical trade-offs clearly to customers, delivery leaders, and non-technical stakeholders.\nIdentifydelivery risks, dependencies, and opportunities for reusable platforms, accelerators, and engineering standards.\nEssential Qualifications\nSuccessful candidates will demonstratethe following combination of education, experience, and technical capability:\nBachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a relateddiscipline.\nAt 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.\nProven hands-on delivery of enterprise AI or Generative AI solutions from architecture and PoC through production operation.\nStrong Google Cloud experience, including practical use of Vertex AI and related services; working knowledge of Gemini, BigQuery, Cloud Run or GKE, IAM, networking, data services, and observability.\nDeep understanding of LLM application patterns, RAG, embeddings, vector search, agent orchestration, prompt engineering, model evaluation, safety controls, and AI governance.\nStrong software engineering fundamentals in Python and API or microservice design, with the ability to review implementation quality and operational readiness.\nExperience leading customer-facing technical discussions, architecture workshops, solution proposals, and delivery decisions in an international environment.\nProfessional English communication skills and the ability to collaborate effectively with distributed engineering and stakeholder groups.\nPreferred Qualifications\nGoogle Cloud Professional Cloud Architect, Professional Machine Learning Engineer, or equivalent certification.\nExperience with Google Agent Development Kit, TensorFlow, JAX, LangChain, LangGraph, or comparable frameworks.\nExperience with responsible AI, security architecture, data governance, FinOps, and regulated enterprise environments.\nEnglishlanguage proficiencyor experience working with APAC-based stakeholders.\nSuccess Measures\nProduction solutions meet agreed reliability, security, quality, latency, and cost targets.\nArchitecture decisions are documented, reusable, and aligned with Google Cloud engineering standards.\nPoCsare converted into viableproduction services with clear operational ownership.\nCustomer and delivery stakeholders receive timely, evidence-based technical guidance.\nEngineering capability improves through mentoring, reusable assets, and consistent review practices.\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.\nWork Schedule\nMonday to Friday, 08:00-12:00 and 13:00-17:00.\nFlexible start time between 07:45 and 09:00 with manager approval.\nWork Locations\nHanoi: HITC Building, 239 Xuan Thuy Street, Hanoi, Vietnam.\nHo Chi Minh City: Opal Office Tower, 92 Nguyen Huu Canh Street, Ho Chi Minh City, Vietnam.\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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