AI Native Product Architect at NTT DATA

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Frameworks, Data Engineering, Cloud-Native Systems, Scalable Architecture, Python, Java, Go, MLOps, APIs, Kubernetes, Microservices, Security, Governance, Compliance, ETL Pipelines, Real-Time Inference

Industry

IT Services and IT Consulting

Description

Req ID: 343769 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Native Product Architect to join our team in Plano, Texas (US-TX), United States (US). Role Summary We are looking for a highly skilled AI Product Native Architect to design and implement end-to-end AI-native product architectures. This role demands strong technical expertise in AI/ML frameworks, data engineering, cloud-native systems, and scalable distributed architecture, with hands-on experience building and deploying AI-powered products. The ideal candidate is a practitioner-architect who can move seamlessly from designing high-level architecture to rolling up their sleeves and prototyping solutions. Key Responsibilities Architecture & Solution Design Define and own the technical architecture of AI-native products, ensuring high availability, performance, and security. Architect scalable data pipelines, model training, inference services, and orchestration frameworks. Design cloud-native, containerized architectures (Kubernetes, microservices, serverless functions) optimized for AI workloads. Create reference architectures and reusable design patterns for AI-first product development. Hands-On Technical Execution Build PoCs, prototypes, and reference implementations to validate architecture decisions. Develop and optimize APIs, vector databases, and real-time inference pipelines for LLMs and ML models. Implement MLOps pipelines for continuous integration, delivery, monitoring, and retraining of models. Ensure observability with logging, monitoring, and tracing for data and AI services. Technology Evaluation & Integration Evaluate AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, Ray, MLflow) for product suitability. Select and integrate data platforms, feature stores, vector DBs (Pinecone, Weaviate, FAISS, Milvus, etc.). Work with cloud AI services (AWS Sagemaker, Azure AI, GCP Vertex AI) and open-source alternatives. Optimize cost, latency, and scalability for inference at production scale. Collaboration & Leadership Work closely with product managers, AI researchers, and engineers to translate requirements into architecture. Conduct technical deep-dives, architecture reviews, and performance benchmarking. Mentor engineers on AI-native design principles and best practices. Required Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience: 8+ years in software architecture/engineering, with 4+ years in AI/ML-focused product development. Proven hands-on experience in designing and deploying AI-native systems in production. Technical Expertise: Strong proficiency in Python, Java, or Go, with hands-on coding ability. Deep knowledge of AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain). Experience with data engineering, ETL pipelines, and streaming platforms (Kafka, Spark, Flink). Strong understanding of cloud-native systems (Kubernetes, Docker, microservices). Practical knowledge of vector search, embeddings, retrieval-augmented generation (RAG). Strong grasp of security, governance, and compliance in AI workloads. Preferred Skills Experience scaling LLM-powered applications with low-latency serving and caching strategies. Knowledge of distributed training/inference using GPUs/TPUs, model sharding, and parallelization. Familiarity with responsible AI practices: fairness, explainability, auditability. Exposure to API design and monetization strategies for AI-powered SaaS products #AIBPaaS About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

The AI Native Product Architect will define and own the technical architecture of AI-native products, ensuring high availability, performance, and security. They will also build proofs of concept and prototypes to validate architecture decisions and mentor engineers on AI-native design principles.