Graph Workflow Engineer
Redhorse
Graph Workflow Engineer
Redhorse
Government consulting with AI-driven digital transformation
Salary Range: 160000 to 190000 (Currency: USD) (Pay period: per-year-salary)
Now is an exciting time to join Redhorse Corporation.
We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence.
Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation’s most challenging problems.
About the Role
We are seeking an analytical, forward-thinking Graph Workflow Engineer to assist with designing, building, and scaling knowledge graph workflows. You will be supporting a cross-functional team building technology-enabled, mission-critical intelligence workflows. Most intelligence transformation technologies fail because they are disconnected from how analysts think and act under pressure—our team works to prevent that.
Success in this role requires hands-on engineering skills and a systems-thinking mindset: the ability to reason about how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic workflows — and to make and defend design decisions that others will build on.
Minimum Basic Requirements for Skills, Experience, Education and Credentials
Redhorse helps government agencies improve operations by providing consulting and hands-on delivery that combines digital transformation, artificial intelligence, and sector expertise in National Security, Networking Technology and Infrastructure, Energy, and the Environment. The company works with clients on mission-critical projects, analyzing data and systems and then designing architectures, implementing technology changes, and guiding long-term partnerships in regulated environments. Its differentiators are close, collaborative client work, sector-specific knowledge, and a focus on outcomes that align with public sector security and compliance needs. The goal is to help government agencies operate more efficiently, securely, and effectively through data-driven strategies and AI-enabled transformations.
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