AI & Data Solution Architect

About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier. About the Role Carrier is seeking a highly skilled and forward‑thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise‑scale Data, Analytics, and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards, shaping cloud‑first platforms, and enabling scalable, secure, and cost‑efficient adoption of analytics, machine learning, and generative AI. The ideal candidate brings deep expertise across GCP, AWS, and Snowflake, strong experience with modern data platforms and lakehouse architectures, and proven leaders [... source excerpt omitted ...] metadata, lineage, and access control standards. AI, ML, and Generative AI Architecture Design and implement AI/ML and GenAI solution architectures from experimentation through production. Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics. Lead architecture for Generative AI and Agentic AI, including: LLM integration with tools, APIs, and knowledge bases (RAG patterns) Autonomous and semi‑autonomous agent workflows Fine‑tuning, prompt engineering, and optimization strategies Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle [... source excerpt omitted ...] uct architecture assessments, and provide impact analysis and recommendations. Communicate complex technical concepts clearly to both technical and executive audiences. Required Qualifications Bachelor’s Degree in engineering or technical discipline 14+ years hands‑on experience in data architecture, analytics solutions, and/or cloud data platforms. 3+ years of hands‑on experience delivering AI/ML and Generative AI solutions in production. 6 + years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake. Preferred Qualifications Master’s degree or Ph.D. preferred. Demonstrated success leading large‑scale, cross‑functional data and AI initiativ