Senior Staff Machine Learning Engineer
Workiva
- Location
- Remote (US)
- Type
- Full-time
- Posted
- Jun 13, 2026
Last seen in the source feed: Aug 26, 2026.
Source listings can change. Check the employer's page for current availability and application requirements.
Job description
Role details
- Own the architecture of Workiva’s AI platform and core AI services, shaping how ML, Generative AI, and agentic systems are integrated across products.
- Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination.
- Establish evaluation methods and quality frameworks for Generative AI applications, and assess emerging AI technologies for adoption.
- Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance.
Impact
The difference you'll make
This role enables organizations to navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny by building a trusted, secure, and reliable AI platform for mission-critical workflows.
Profile
What makes you a great fit
- 10+ years of software engineering experience, including large-scale SaaS platforms.
- 5+ years designing, deploying, and operating production ML, AI, or data-intensive systems.
- Deep expertise in RAG, agentic systems, and large-scale knowledge systems.
- Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++.
Benefits
What's in it for you
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. Less than 10% travel required. Reliable internet access for remote working opportunities.
About
Inside Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations, unifying finance, risk, and sustainability on a single, secure foundation.
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Senior Staff Machine Learning Engineer
Workiva