Senior Software Engineer - AI Enablement

Workiva, Inc.
Ames, IA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$111,000.0 - $180,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Proxy Servers JIRA Automation of Tests Catalyst (Software) Software Quality Code Review Cursor Python (Programming Language) Software Engineering Software Systems Systems Integration
+9 more
TypeScript Datadog Claude Code Backend Agentic-AI Data Analytics Model Context Protocol Splunk Api Management

Job description

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 domain-such as our Model Context Protocol (MCP) ecosystem, wk-ai-prototyping repo or our future automated testing agents-becoming the go-to expert for that area while maintaining the flexibility to support the broader team., 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.

Requirements

Software Engineering, Artificial Intelligence (AI), MCP - Microsoft Certified Professional, Prototyping, Test Automation, Software Engineering, Ecosystems, Artificial Intelligence (AI), Atlassian JIRA, Splunk, * 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.

Benefits & conditions

Salary range in the US: $111,000.00 - $180,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

About the company

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring 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, you’ll 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 you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

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