Senior AI Enablement Engineer

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

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status 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 email [email protected].
 

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.