Senior Technical Content Engineer – AI Documentation

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

In This Role

You will support a knowledge engineering and content transformation function focused on improving the documentation lifecycle through AI-enabled tools, automation, and modern docs-as-code practices. This role sits at the intersection of technical content development, content operations, and software engineering-adjacent workflows.

You will help plan, develop, test, and improve AI-powered documentation solutions, including agent skills, automation workflows, internal knowledge resources, and technical content programs. The ideal candidate will be comfortable writing and maintaining developer-facing content while also working in technical environments that include Markdown, Git-based collaboration, CI/CD publishing workflows, scripting, and AI-assisted coding tools.

This is not a traditional technical writing role. The right candidate will bring strong technical content experience along with hands-on comfort using modern engineering tools, automation, and AI-assisted workflows to improve documentation quality, speed, consistency, and scalability.

Responsibilities

• Plan, scope, and manage technical content programs from ideation through authoring, review, user acceptance testing, publication, and ongoing maintenance.
• Author, edit, and review technical content such as internal wiki articles, how-to guides, UAT plans, process documentation, and contributor guidance.
• Support docs-as-code workflows using Markdown, code editors, Git-based collaboration, pull requests, issues, and CI/CD publishing processes.
• Facilitate user acceptance testing, gather participant feedback, document findings, and recommend next steps.
• Monitor adoption, usage, feedback, and success metrics for documentation tools, agent skills, and AI-enabled content workflows.
• Track documentation quality indicators such as engagement, satisfaction, time-to-resolution, content freshness, accessibility, and issue resolution.
• Triage and resolve content bugs from feedback channels, analytics, and issue backlogs.
• Partner cross-functionally with content, engineering, product, design, and transformation stakeholders to coordinate workstreams and ensure documentation accuracy.
• Apply content quality standards, including voice and tone, accessibility, information architecture, metadata, taxonomy, localization readiness, and content reuse practices.
• Use technical authoring and publishing tools such as Visual Studio Code or similar editors, Markdown linters, static-site publishing systems, and documentation repositories.
• Apply software engineering practices such as branching strategies, code review, automated validation, and testing to content development workflows.
• Use AI-assisted and agentic coding tools to accelerate content creation, automate repetitive documentation tasks, and prototype workflow improvements.
• Identify opportunities to integrate AI-assisted authoring, content generation, quality assurance, and automation into the documentation lifecycle.
• Contribute to or build lightweight scripts, tools, extensions, or automation using languages such as Python, JavaScript, TypeScript, or simila