Data/Information Architect

Job Description

Job Description

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.

Responsibilities:
• 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.• 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.