Senior Staff ML Architect: Enterprise AI Platform (Remote)

Workiva Inc.; Iowa; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Restricted Stock Units

401(k) match and comprehensive benefit

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’ll shape integration of ML, Generative AI, and agentic systems across products.

You’ll lead production-grade, secure AI systems, set standards for model serving, governance, and observability, and mentor engineers to raise the technical bar across the organization.

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.
• Lead the integration of ML, Generative AI, and agentic systems across products.
• Drive production‑grade, enterprise‑ready AI systems.
• Define standards for model serving, retrieval, evaluation, governance, and platform reliability.
• Mentor Staff and Senior Engineers and help raise the technical bar across the organization.
• Partner with Product, Security, Infrastructure, and Architecture leaders.
• Align teams around a shared vision for scalable, secure AI at Workiva.
• Security, Governance, and Reliability lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance.

Skills

Leadership

Mentoring

System design

Communication

Education

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

Tools

Python

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’ll shape integration of ML, Generative AI, and agentic systems across products.

You’ll lead production-grade, secure AI systems, set standards for model serving, governance, and observability, and mentor engineers to raise the technical bar across the organization.