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2 results for Ai Architect in Dallas, TX

Data/Information Architect
  • Richardson, TX
  • onsite
  • Permanent / Full Time
  • 200000 - 250000 USD / Yearly
  • We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments.<br><br>Responsibilities:<br>• 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.<br>• Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing.<br>• Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products.<br>• 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.<br>• Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing.<br>• Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies.<br>• Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges.<br>• Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets.<br>• Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
  • 2026-07-01T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Grand Prairie, TX
  • remote
  • Temporary / Contract
  • 79.1635 - 87 USD / Hourly
  • We are looking for an Artificial Intelligence (AI) Engineer to join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes.<br><br>Responsibilities:<br>• Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms.<br>• Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases.<br>• Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions.<br>• Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing.<br>• Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models.<br>• Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes.<br>• Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions.<br>• Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks.<br>• Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
  • 2026-06-17T00:00:00Z