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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data/Information Architect - **Company:** Robert Half - **Location:** Richardson, TX, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Architectural Patterns, Computer Vision, Cloud Computing, Data Architecture, Data Discovery, Data Infrastructure, Machine Learning, Systems Integration, Enterprise Software Applications, Large Language Models, Deep Learning, Model Validation, Generative AI, Containerization, Data Analytics, Data Management - **Published:** August 1, 2026 - **Apply:** https://dejobs.org/x/x/25ADE0C6F3694C328345C89C63D25054/job/ ## About the Role * 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. Technology Doesn't Change the World, People Do.® ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)