Enterprise AI Platform Architect, Senior ML Engineer

Workiva Inc.; United States; À distance; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Restricted Stock Units

401(k) match and comprehensiveBenefits

Discretionary bonus

Résumé du poste

Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world’s largest and most regulated organizations. We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.

The Senior Staff ML Engineer will own the architecture of the AI platform, shape integration of ML/Generative AI across

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 systems.

Responsabilités

• 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.
• Mentor Staff and Senior Engineers and help raise the technical bar across the organization.

Connaissances

Python

Java

Go

Scala

C++

Distributed systems

Cloud-native

Formation

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

Outils

Production ML systems

Description du poste

Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world’s largest and most regulated organizations. We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.

The Senior Staff ML Engineer will own the architecture of the AI platform, shape integration of ML/Generative AI across