Job Description

The Senior AI Enablement Engineer plays a key role in advancing AI adoption across Workiva by identifying, evaluating, and operationalizing AI-driven solutions that solve business challenges and enhance productivity. This is a hands-on technical role focused on bridging AI capabilities with real-world business needs through practical application, integration, and enablement at scale.

Operating within the Business Technology department, this role partners cross-functionally to deliver impactful AI solutions—ensuring enterprise readiness, measurable outcomes, and responsible AI use.

What You’ll Do

AI Technology Evaluation & Implementation

Research, experiment with, and evaluate emerging AI tools and platforms to address business challenges and drive meaningful outcomes

Collaborate with technical and business teams to identify high-impact AI use cases and translate them into deployable solutions

Assess capabilities of AI vendors, open-source tools, and custom models for enterprise readiness, including compliance, security, and scalability

Partner with cross-functional teams—such as Business, Information Security, Legal, and Architecture—to implement AI solutions that meet Workiva's technical, legal, and ethical standards
 

Education, Enablement & Adoption

Develop hands-on training resources, playbooks, and best practices for both technical and non-technical audiences

Lead workshops, demos, and enablement sessions to drive AI literacy and empower self-service experimentation

Serve as an internal subject matter expert on applied AI, providing guidance on both potential and limitations of technologies

Track adoption and usage trends to iterate on enablement strategies and improve user engagement
 

Process Improvement & Change Management

Define repeatable, scalable processes for evaluating, piloting, and operationalizing AI use cases across the organization

Gather feedback to continuously improve tool selection, onboarding processes, and enablement approaches

Analyze AI adoption trends and business impact through a mix of quantitative and qualitative data

Support the development of AI governance frameworks, education programs, and usage policies in partnership with business and technology stakeholders

What You'll Need

Minimum Qualifications

4+ years of experience in AI implementation, technical enablement, or enterprise technology enablement

Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field—or equivalent practical experience
 

Preferred Qualifications

Hands-on experience with AI tools and frameworks, including LLMs, NLP, and computer vision

Strong understanding of AI integration approaches and solution architecture within enterprise environments

Ability to rapidly prototype and iterate using a pragmatic, experimental approach

Excellent communication skills for cross-functional collaboration and stakeholder engagement

Proven ability to align technical solutions with business needs and drive adoption in dynamic, fast-paced environments

Direct experience with AI-powered tools, automation platforms, and system integrations

Demonstrated success leading AI initiatives within SaaS organizations with $1B+ in revenue and 5,000+ employees globally

Physical Requirements and Working Conditions

Embrace your inner wanderlust – expect up to 10% travel

Stay virtually untethered with the power of reliable internet access, enabling you to work remotely from your chosen spot, whether that's your home office or a beachside café

How You’ll Be Rewarded

? Salary range in the US: $111,000.00 - $178,000.00

? A discretionary bonus typically paid annually

? Restricted Stock Units granted at time of hire

? 401(k) match and comprehensive employee benefits package