... coordination. * Design and evolve Retrieval-Augmented Generation capabilities for enterprise ... Assess emerging AI technologies and guide adoption strategy for Workiva's platform. Technical ...
... coordination. * Design and evolve Retrieval-Augmented Generation capabilities for enterprise ... Assess emerging AI technologies and guide adoption strategy for Workiva's platform. Technical ...
Director, Media Relations
Ottawa, ON · On-site +1
The Director, Media Relations is responsible for shaping and executing a coordinated, national ... Monitor and assess municipal, provincial, and federal political dynamics to inform proactive media ...
Director, Media Relations
Ottawa, ON · On-site +1
The Director, Media Relations is responsible for shaping and executing a coordinated, national ... Monitor and assess municipal, provincial, and federal political dynamics to inform proactive media ...
Remote Rn Assessment Coordinator information
What is the difference between Remote Rn Assessment Coordinator vs Remote Rn Case Manager?
| Aspect | Remote Rn Assessment Coordinator | Remote Rn Case Manager |
|---|---|---|
| Credentials | Registered Nurse (RN) license, assessment training | Registered Nurse (RN) license, case management certification often preferred |
| Work Environment | Healthcare organizations, insurance companies, telehealth platforms | Healthcare providers, insurance companies, telehealth services |
| Job Focus | Conducting assessments, evaluating patient needs, coordinating care plans | Managing patient cases, coordinating services, ensuring treatment adherence |
| Common Usage | Used in telehealth, insurance, and healthcare assessment settings | Used in patient care coordination, insurance, and healthcare management |
The Remote Rn Assessment Coordinator primarily focuses on conducting patient assessments and evaluating care needs, while the Remote Rn Case Manager manages ongoing patient cases and coordinates services. Both roles require RN licensure and work in similar healthcare environments, but their core responsibilities differ in scope and focus.
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Full-time
Re-posted 24 days ago
Workiva rating
9.9
Based on 7 frontline employees who took The Breakroom Quiz
1st of 247 rated software companies
Job description
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.
What You'll DoAI Platform ArchitectureOwn 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.
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.
Working Conditions
Less than 10% travel
Reliable internet access for remote working opportunities
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.
Workiva is an Equal Opportunity Employer.We believe that great minds think differently.We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, gender identity, race, religion, disability status, sexual orientation, or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please emailtalentacquisition@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
#LI-MJ2About Workiva
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Ames, IA, US
Year founded
2008