Building a new generation of domain-native engineers
Enterprise AI often struggles at the last mile, where data, systems, and business decisions must come together to create measurable value. Tredence's Forward Deployed Engineers combine speed, powered by deep AI, data, and engineering expertise, with depth, built through years of domain experience, to turn AI into business outcomes faster.
Each Tredence FDE brings that depth to the work of building and scaling agentic systems, applying deep engineering expertise to the business decisions that matter most, from pricing and promotions to the data and semantic foundations that power enterprise operations. They are platform agnostic by design, working across clients' existing technology stack, including Databricks, Google Cloud, Microsoft, Snowflake, AWS, and leading frontier model providers.
Tredence is committed to building a dedicated pool of 200 FDEs over the next 12 months. Through this practice, the company intends to build the most domain-native engineering capability in the market, helping clients move faster from problem to impact.
"Our FDEs are designed to solve the hardest business problems, lead end-to-end AI transformations, and take ownership all the way from business problems to enterprise-scale deployment. That's the level of accountability enterprise AI needs today."
Co-founder and CEO, Tredence
Tredence's FDE practice is built on two things: speed and depth. Speed comes from proven accelerators and reusable workflows. Depth comes from deploying FDEs in industries Tredence has already worked in, backed by deep technical and business knowledge.
FDEs bring deep functional experience: a supply chain FDE has managed demand planning cycles; a marketing FDE has structured retail media campaigns.
FDEs code with production-grade assistants as standard practice, arriving with a working prototype instead of a proposal. Many advances into the role through AI Forge, Tredence's company-wide AI-native transformation journey.
FDEs know how a category manager sets a promotion, or a planner reads a forecast — and that understanding shapes the system design, not just the delivery plan.
Hands-on expertise across hyperscalers, frontier AI, and data ISV platforms, designed around what those platforms can actually do in production.
Tredence FDEs lead from the front, anchoring small, elite teams and owning everything from business problems to enterprise-scale deployment.
Press release
Tredence launches its Forward Deployed Engineering practice, committing 200 domain-native FDEs to close enterprise AI's last mile.
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Forward Deployed Engineers embed with clients to turn ambiguous AI problems into production systems, blending domain depth with engineering speed.
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