Senior Staff Machine Learning Engineer

4w4 weeks ago

Workiva

Sault Ste. Marie, CA · Full-time · C$180,000 – C$230,000

About this role

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

You will own the architecture of Workiva’s AI platform and core AI services, shaping how machine learning, Generative AI, and agentic systems are integrated across products. You will lead the design of enterprise agentic systems including orchestration, workflow execution, memory, and multi-agent coordination, and design Retrieval-Augmented Generation for enterprise content workflows.

You will influence technical direction across teams, products, and platform domains, and mentor Staff and Senior Engineers to raise the technical bar. You will partner closely with Product, Security, Infrastructure, and Architecture leaders to align teams around a shared vision for scalable, secure AI at Workiva.

This role leads the move from early adoption to production-grade, enterprise-ready systems. You will establish best practices for AI safety, model governance, and customer data protection, ensuring AI systems meet enterprise expectations for availability, resiliency, observability, and operational support.

Requirements

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.
Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance.
Deep expertise in RAG, agentic systems, and large-scale knowledge systems.
Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs.
Experience with AI evaluation, secure AI systems, and regulated enterprise environments.
Strong distributed systems, cloud-native, API, reliability, and operational excellence experience.

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.
Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination.
Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows.
Establish evaluation methods and quality frameworks for Generative AI applications.
Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance.