Senior Staff Machine Learning Engineer

Workiva

Senior Staff Machine Learning Engineer at Workiva defining enterprise-level AI architecture and solutions. Leading technical direction and influencing secure AI platform design across multiple teams.

Posted 6/13/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsGoJavaPythonScala

About the role

Key responsibilities & impact

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
Assess emerging AI technologies and guide adoption strategy for Workiva’s platform
Influence technical direction across teams, products, and platform domains
Mentor Staff and Senior Engineers and help raise the technical bar across the organization
Partner closely with Product, Security, Infrastructure, and Architecture leaders
Align teams around a shared vision for scalable, secure AI at Workiva
Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance
Establish best practices for AI safety, model governance, and customer data protection
Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support
Design for fault tolerance and operational excellence in regulated, security-conscious environments

Requirements

What you’ll need

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
Proven track record leading architecture across multiple teams or platform domains
Strong distributed systems, cloud-native, API, reliability, and operational excellence experience
Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++
Proven record mentoring senior engineers and technical leaders

Benefits

Comp & perks

Flexible working arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningGenerative AImodel servingevaluationgovernanceRetrieval-Augmented GenerationPythonJavaGoC++

Soft Skills

mentoringleadershipinfluencingcollaborationcommunicationtechnical directionvision alignmentoperational excellencequality frameworksbest practices