Data/Information Architect

• 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. Technology Doesn’t Change the World, People Do.®

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