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AI tools for Forward Deployed Engineering — Vasuman Moza, Varick Agents

AI tools for Forward Deployed Engineering — Vasuman Moza, Varick Agents

Varick Agents tackles the enterprise AI adoption challenge by deploying Forward Deployed Engineers (FDEs) who map, re-engineer, and automate complex workflows directly on top of existing systems, avoiding costly migrations. The company develops specialized internal AI tooling, including 'Engagement' and 'Workflow' agents, and employs custom model training with RL environments to overcome frontier model limitations in context extraction and clarity, enabling department-wide AI transformation.

How Forward Deployed Engineering is done at Cognition — Jia Wu

How Forward Deployed Engineering is done at Cognition — Jia Wu

Cognition's deployed engineering team focuses on measuring customer outcomes, not just token usage, achieving significant productivity gains with their AI agent, Devin. This involves understanding deep business problems, strategically applying Devin's capabilities, and feeding insights back to product development, fundamentally reshaping the role of a deployed engineer.

How Forward Deployed Engineering is done at Ramp — Leo Mehr

How Forward Deployed Engineering is done at Ramp — Leo Mehr

Leo Mehr, Director of Engineering at Ramp, outlines two critical principles for Forward Deployed Engineering (FDE): "Always Be Scoping" to ensure the delivery of the right product by deeply understanding customer needs and context, and "Scale with Tokens" by strategically integrating AI agents into FDE workflows. He highlights Ramp's success in automating request intake and spec generation using AI, emphasizing the need for both human judgment and AI-driven efficiency to thrive in the future.

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

Natalie Meurer discusses the "dirty secret" of Forward Deployed Engineering (FDE), arguing that its definition has broadened so much it has lost specific meaning, yet remains critical in the age of AI. She traces its evolution at Palantir from pure DevOps to data integration, custom solutions, and enablement, highlighting customer accountability as its enduring core. Meurer contends that as AI makes code cheap, the focus shifts to integrating data, understanding customers, and achieving outcomes—making agent engineering a direct descendant of FDE under a new name, especially evident in the move towards outcome-based pricing models.

How Forward Deployed Engineering is done at Decagon — Sunny Rekhi

How Forward Deployed Engineering is done at Decagon — Sunny Rekhi

Sunny Rekhi, CTO of Forward Deployed Engineering at Decagon, explains how his company builds and scales AI customer service agents. He delves into the dual nature of forward-deployed work – agent configuration and product development driven by customer asks – and how this role blends with core product engineering. The discussion covers critical strategies for scaling from 50 to 500 employees, emphasizing restraint, early success definition, industry specialization, and the ethos of turning custom solutions into self-serve, reusable product features.

How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh

How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh

Vinoo Ganesh, formerly of Palantir, details how Forward Deployed Engineering (FDE) functions as a critical product strategy rather than a sales role. He shares insights from Palantir's Foundry development, emphasizing how FDEs embed with customers to uncover true problems, observe user behavior, define a common linguistic ontology, and build production-ready solutions from temporary fixes, ultimately driving core product leverage.