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2 results for Azure Technical Architect in Dallas, TX

Data/Information Architect
  • Dallas, TX
  • onsite
  • Permanent
  • 200000 - 220000 USD / Yearly
  • 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.
  • 2026-02-24T00:00:00Z
AI Engineer
  • Dallas, TX
  • onsite
  • Permanent
  • 165000 - 230000 USD / Yearly
  • We are looking for an AI Engineer to lead the integration of artificial intelligence and automation into cutting-edge systems. Based in Dallas, Texas, this role is an exciting opportunity to design, develop, and deploy AI-powered applications while leveraging cloud-native technologies and modern engineering practices. The ideal candidate will be passionate about utilizing AI tools to enhance workflows, streamline processes, and drive innovation.<br><br>Responsibilities:<br>• Develop and maintain user interfaces and backend services using modern programming frameworks.<br>• Design and optimize relational database schemas, queries, and stored procedures.<br>• Integrate AI models and services into applications to improve functionality and workflows.<br>• Build and deploy automation workflows using tools such as n8n and Zapier.<br>• Utilize AI-assisted development tools like Copilot and ChatGPT to enhance engineering efficiency.<br>• Identify and implement opportunities to streamline processes through AI and automation.<br>• Develop and deploy solutions within Microsoft Azure, ensuring scalability and security.<br>• Collaborate on cloud platform identity, integration, and security best practices.<br>• Work within a Windows-based environment while leveraging Microsoft 365 tools.<br>• Ensure high performance, scalability, and security across all application layers.
  • 2026-03-03T00:00:00Z