<p>We are looking for a <strong><u>Learning Coordinator Assistant</u></strong> for a client in <strong><u>Dallas, TX on a 6+ week contract position. </u></strong>See job details below.</p>
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.