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Data/Information Architect

United States, Richardson · Job Posted June 15, 2026
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Job Responsibility

  • Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives
  • Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing
  • Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products
  • Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value
  • Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing
  • Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies
  • Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges
  • Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets
  • Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows

Requirements

  • 7+ years of experience in architecture, data architecture, or related enterprise technology roles
  • Demonstrated expertise in designing architecture for data-driven and AI-enabled solutions in complex business environments
  • Strong working knowledge of artificial intelligence, machine learning, and associated tools, platforms, and integration patterns
  • Ability to evaluate emerging technologies and apply them effectively to business problems with sound technical and commercial judgment
  • Excellent written, verbal, and presentation communication skills, with the ability to influence both technical and non-technical audiences
  • Proven ability to balance quality, cost, timing, and risk when shaping solution designs and architectural recommendations
  • Hands-on experience with prototyping, model evaluation, and technical validation of new tools, APIs, or frameworks
  • Strong interest in continuous learning and experimentation across AI/ML engineering, cloud-native solutions, and modern data platforms

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

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