Quick overview
Job description
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
Primary Duties and Responsibilities
- Configure and implement user-facing graph workflows in GraphAware Hume to support search, investigation, exploration, and mission execution.
- Build and refine Hume views, workflow components, and investigative paths aligned to priority use cases.
- Translate product requirements, user feedback, and workflow concepts into working application behavior.
- Integrate graph queries, graph analytics outputs, and supporting data services into operational workflows.
- Support recurring demonstrations and iterative refinement of workflow usability and mission relevance.
- Collaborate with product, design, graph engineering, and analytics personnel to ensure delivery consistency and user value.
- Document workflow configurations and implementation considerations for transition planning.
Minimum Basic Requirements for Skills, Experience, Education and Credentials
- Demonstrated experience configuring graph-enabled applications, workflow tools, investigative interfaces, or similar operational software.
- Working knowledge of graph-based user interaction patterns and the needs of investigative or analytic users.
- Ability to translate user stories and workflow requirements into effective application behavior.
- Experience working in agile or iterative product delivery environments.
- Bachelor’s degree from an accredited institution in computer science, information systems, engineering, design, or a related field.
- Five or more years of relevant professional experience in application engineering, workflow engineering, or related technical delivery roles.
- Experience with GraphAware Hume, Neo4j-backed applications, or investigative workflow platforms is preferred.
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