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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data/Information Architect - **Company:** Robert Half - **Location:** Fort Worth, TX, United States - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **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:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=77ec208c20981737 ## About the Role Do you have experience in Data-driven problem-solving?, * 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. ## 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. * Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows. ## Related Videos - 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