Senior Enterprise AI Platform Architect

Workiva, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Discretionary bonus

RSUs

401(k) match

Comprehensive benefits package

Job summary

Workiva is seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale. You will own AI platform architecture and guide the integration of generative AI across products to ensure accuracy, auditability, and reliability.

You will mentor engineers, set governance standards, and partner with Product, Security, and Infrastructure to drive secure, scalable AI across Workiva's platform in a regulated environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 10+ years of software engineering experience, including large-scale SaaS platforms.
• 5+ years designing, deploying, and operating production ML, AI, or data-intensive systems.

Responsibilities

• Own the architecture of Workiva's AI platform and core AI services.
• Shape how machine learning, Generative AI, and agentic systems are integrated across products.
• Lead the move from early adoption to production-grade, enterprise-ready systems.
• Define standards for model serving, retrieval, evaluation, governance, and platform reliability.

Skills

Python

Mentoring senior engineers

Distributed systems

Cloud-native

Education

Bachelor's degree in Computer Science, Engineering, or equivalent experience

Tools

Java

Go

Scala

C++

Job description

Workiva is seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale. You will own AI platform architecture and guide the integration of generative AI across products to ensure accuracy, auditability, and reliability.

You will mentor engineers, set governance standards, and partner with Product, Security, and Infrastructure to drive secure, scalable AI across Workiva's platform in a regulated environment.