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AI Native Product Architect

Job in Bowling Green, Warren County, Kentucky, 42103, USA
Listing for: NTT DATA
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Job Description & How to Apply Below

Req :337634

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, Tensor Flow, Hugging Face, Lang Chain, 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, Tensor Flow, Hugging Face, Lang Chain).
  • 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
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,…

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