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Senior Enterprise Architect in Artificial Intelligence

United States, Dallas · Job Posted January 16, 2026
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Job Description

We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.

Job Responsibility

  • Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing)
  • Develop and communicate AI roadmaps, future-state architectures, and design artifacts
  • Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms
  • Evaluate and recommend AI/ML tools, platforms, and frameworks
  • conduct ROI analysis
  • Experiment with and fine-tune LLMs, train custom models, and assess performance metrics
  • Perform data exploration, cleansing, and feature engineering to prepare datasets for model training
  • Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows
  • Continuously scan industry innovations and apply emerging AI/ML technologies to business problems

Requirements

  • Bachelor’s degree in STEM or related field (MBA a plus)
  • 5+ years in AI/ML solution architecture, prototyping, and experimentation
  • 5+ years working with AWS and/or Azure data, analytics, and AI services
  • 3+ years of experience with data science tools and frameworks
  • Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms
  • Knowledge of cloud-native services (data storage, compute, networking, security)
  • Strong understanding of statistical methods, data preprocessing, and feature engineering
  • Deep knowledge of AI/ML tech across AWS/Azure and GCP
  • Understanding of cloud-native services for data storage, compute, networking, and security
  • Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis)
  • Experience with data exploration, feature engineering, and data preprocessing techniques
  • Technical proficiency, including: 5+ years of hands-on AI/ML solution architecture and Hands-on prototyping and experimentation
  • 5+ years of AWS/Azure data, Analytics and AI services
  • 3+ years hands-on of experience with data science tools and frameworks
  • Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions

What we offer

  • medical, vision, dental, and life and disability insurance
  • eligible to enroll in our company 401(k) plan

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