Tredence, a global data & AI services company, announced the launch of its Forward Deployed Engineering (FDE) practice, committing to build a dedicated pool of 200 FDEs over the next 12-18 months. The practice builds an elite class of engineers at the intersection of domain expertise and data & AI, solving enterprises' hardest business problems. Built to tackle high-impact challenges for Fortune 100 enterprises, Tredence's FDEs are domain specialists first and engineers second, working across clients' existing technology stack including Databricks, Google Cloud, Microsoft, Snowflake, AWS, and leading frontier model providers. Enterprise AI often struggles at the last mile, where data, systems, and business decisions must come together to create measurable value. Shub Bhowmick, Co-founder and CEO, Tredence, stated that enterprise AI is at an inflection point, and success now depends on combining AI-native engineering with industry depth to turn technology into real business outcomes. The FDE model is differentiated by more than a decade of deep domain expertise across industries, AI native engineering, frontline ownership by specialized teams, and hands-on depth across hyperscaler, frontier AI, and data platforms.