Principal Solutions Consultant (Artificial Intelligence)

Principal Solutions Consultant (Artificial Intelligence)

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive AI strategy and mentor teams while engaging with C-level executives.
  • Company: Join a leading tech firm revolutionising AI in regulated reporting.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to influence product direction and engage in thought leadership.
  • Why this job: Shape the future of AI and make a significant impact in the industry.
  • Qualifications: 10+ years in technical consulting with deep AI architecture expertise.

The predicted salary is between 72000 - 88000 £ per year.

The Principal Solution Consultant - AI drives strategic sales by evangelizing Workiva’s AI capabilities and governed platform. This role supports multiple complex pursuits, demonstrating how customers can leverage AI for regulated reporting through tailored presentations and value-based messaging. You will define Workiva’s strategic position within each organization’s evolving AI and data landscape. This high-impact role requires deep technical expertise and executive presence.

You will engage architects, AI/ML leads, and C-level executives to define Workiva’s role in their AI infrastructure, focusing on data governance, integration, and model orchestration. By positioning Workiva as the system of trust for machine-generated financial, sustainability, and risk data, you will ensure outputs are controlled, reviewed, and defensible. You will partner closely with internal teams—including Sales, Product, and InfoSec—to articulate why a governed core is essential.

  • Drive AI Strategy & Mentorship: Lead the AI technical agenda across pursuits, serving as the senior technical voice from engagement through deal closure. Develop reusable IP (patterns, talk tracks, design guidance) and mentor fellow Solution Consultants to elevate AI fluency across the organization.
  • Cross-Functional Discovery & Engagement: Lead technical discovery and alignment across both business functions (Finance, GRC, Sustainability) and IT/Security teams to map customer AI programs, identify where the governed core fits, and ensure safe, compliant integration.
  • Deliver Tailored Demonstrations & Architecture: Prepare high-impact technical demonstrations and produce customer AI reference architectures that clearly show how our API-first platform integrates into their ecosystem to deliver defensible, production-ready outputs.
  • Shape Product Direction: Proactively share field insights with product, engineering, and leadership teams to foster cross-functional alignment and influence the AI roadmap.
  • Represent Workiva in the Market: Engage customers and partners as a public technical voice for Workiva’s AI posture through industry events, thought leadership, and executive briefings.

Undergraduate degree or equivalent combination of education and experience in a related field. 10+ years of technical, customer-facing experience in presales solution consulting, solution architecture, or technical consulting, including a minimum of 3 years focused specifically on enterprise AI architecture. Reliable internet access for any period of time, working remotely, not in a Workiva office.

AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality.

Governance & Security: Understanding of AI governance (NIST, ISO 42001, EU AI Act), security risks (prompt injection, exfiltration), and establishing audit-readiness over machine-generated outputs in regulated environments.

Industry & Financial Domain Expertise: Knowledge of corporate reporting (Finance, GRC, Sustainability) and the office of the CFO. Familiarity with source systems like SAP, Oracle, and Snowflake, plus relevant certifications (AWS/Azure/AI).

Communication & Strategic Leadership: Proven success articulating architectural visions to C-level executives and representing the company publicly through thought leadership and industry events.

Principal Solutions Consultant (Artificial Intelligence) employer: Workiva

Workiva is an exceptional employer that fosters a dynamic and collaborative work culture, empowering employees to innovate and excel in their roles. With a strong focus on professional development and growth opportunities, particularly in the rapidly evolving field of AI-driven solutions, team members are encouraged to expand their skills and make a meaningful impact across EMEA. The company's commitment to leveraging cutting-edge technology and insights ensures that employees are at the forefront of industry advancements, making Workiva a truly rewarding place to build a career.

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Contact Details:

Workiva Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Solutions Consultant (Artificial Intelligence)

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Workiva or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Workiva.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Workiva.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Workiva that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Principal Solutions Consultant (Artificial Intelligence)

AI Capabilities Evangelism
Data Governance
Integration
Model Orchestration
Technical Presentations
Value-Based Messaging
AI Strategy Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Workiva.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Workiva and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Workiva

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Workiva uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.