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# Senior Software Engineer - AI Enablement

- **Company:** Workiva, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $111,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Proxy Servers, JIRA, Catalyst (Software), Software Quality, Code Review, Cursor, Python (Programming Language), Software Engineering, Software Systems, Systems Integration, TypeScript, Datadog, Backend, Data Analytics, Splunk, Api Management
- **Published:** September 12, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18264788?backUrl=%2Fcareer%2F18264788%2FSenior-Software-Engineer-Ai-Enablement

## About the Role

* Experience: 4+ years of related software development experience.
 * Technical Stack: Strong proficiency in back-end services, proxy servers, and API integrations. Experience with Python, Go, or TypeScript is preferred.
 * AI Literacy: Extensive experience using AI-augmented IDEs (e.g., Cursor, Claude Code) to maintain high throughput and quality.
 * Communication: Ability to translate complex technical implementations into clear, actionable documentation for the broader engineering org.

## Description

Architecture & Technical Mastery (Primary Focus)

 * Domain Ownership: Take deep ownership of a specific technical domain (e.g., our MCP server infrastructure or wk-ai-prototyping repo). Be the primary maintainer and visionary for this component.
 * Build & Deploy: Architect and maintain internal MCP servers (integrating Jira, Splunk, Datadog, etc.) and deploy cloud-hosted autonomous agents within FedRAMP boundaries.
 * Resilient Implementation: Independently deliver software solutions through a set of milestones, ensuring code is sustainable, reusable, and optimized for an AI-augmented environment.
 * Tooling Evaluation: Conduct deep technical spikes on emerging AI tools (e.g., Qodo, Cursor, Claude Code) to ensure compatibility with Workiva's architecture and security standards.

Process Integration & Consulting (Growth Path)

 * Best Practice Documentation: Actively surface and document "Golden Paths"-creating playbooks that standardize how engineers utilize AI to reduce KTLO (Bugfixes, CVEs, Migrations).
 * Light Consulting: Serve as a tactical consultant for product teams, helping them integrate AI agents into their specific workflows and troubleshooting technical blockers.
 * Data-Driven Quality: Implement and monitor metrics (using tools like Mstone) to measure the impact of AI on team velocity and code quality.

Evangelism & Mentorship

 * Skill Mastery: Level up team members by providing guidance on AI-augmented development techniques and conducting "Review-First" code reviews.
 * Cultural Catalyst: Showcase successful use cases and strategic wins in engineering syncs to encourage organic AI adoption., Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.