Senior Software Engineer AI Enablement

As a Senior Software Engineer you will be the technical engine of the AI Enablement team. Your mission is to bridge the gap between AI-adjacent and AI-native by building the tools and integrations that make AI indispensable to the PDLC. While you will contribute across our entire stack you will be expected to own a specific domainsuch as our Model Context Protocol (MCP) ecosystem wk-ai-prototyping repo or our future automated testing agentsbecoming the go-to expert for that area while maintaining the flexibility to support the broader team.

Key Responsibilities

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 Workivas architecture and security standards.

Process Integration & Consulting (Growth Path)

• Best Practice Documentation: Actively surface and document Golden Pathscreating 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.

Minimum Qualifications

• 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.

How Youll Be Rewarded

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence control and a competitive edge to the worlds most complex organizations. Our AI-powered platform unifies finance risk and sustainability on a single secure foundationensuring data is trusted traceable and ready to act on. With an unbroken path from source to output leaders gain confidence in their numbers visibility into current and emerging risks and the ability to move with speed and precision in a constantly changing world.

At Workiva youll bring technology to market that executives boards and regulators depend on. The work you do here helps organizations navigate uncertainty maintain trust and make decisions that stand up to scrutiny. If youre energized by meaningful challenges inspired by collaborative teams and motivated to help organizations turn uncertainty into advantage wed love to meet you.

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Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.