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For Companies At a Glance
- Tasks: Lead AI initiatives and drive innovation across the enterprise with generative AI.
- Company: Join a forward-thinking tech company focused on responsible AI adoption.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI transformation and make a significant impact.
- Qualifications: 15+ years in tech, with 5+ years in AI leadership roles.
- Other info: Dynamic environment with a focus on ethical AI practices and team collaboration.
The predicted salary is between 72000 - 108000 £ per year.
Role Overview
The VP of AI CoE will lead the strategic development, execution, and scaling of AI initiatives across the enterprise, with a strong focus on generative AI, agentic systems, and cloud-native architectures. This role is pivotal in transforming SDLC and business operations through AI-driven innovation, ensuring alignment with organizational goals, and fostering a culture of responsible and scalable AI adoption. The role also includes oversight of internal platform development of our flagship products such as CoCo.
Key Responsibilities
- Strategic Leadership & Vision: Define and execute the enterprise-wide AI strategy, aligning with business objectives and innovation roadmaps. Lead the development of agentic and generative AI systems, including autonomous agents and orchestration frameworks. Establish and evolve the AI CoE operating model, governance, and engagement frameworks across Qualitest to support all industry sectors and geographies.
- Technology & Architecture: Oversee the design and deployment of AI solutions leveraging AWS, Azure, and GCP cloud services. Ensure scalable, secure, and compliant AI infrastructure, integrating with existing cloud and data platforms. Champion the adoption of CoCo with multi-agent systems for delivery projects across the engagements. Guide the development and evolution of CoCo, the SDLC optimization platform, ensuring it leverages Agentic AI to streamline software development workflows.
- Innovation & Use Case Development: Identify high-impact AI use cases across business units and lead pilot programs to validate and scale solutions. Collaborate with automation, digital engineering, and data teams to build reusable AI components and data products. Drive continuous improvement through experimentation, feedback loops, and performance optimization.
- Talent Development & Team Leadership: Build and mentor a multidisciplinary team of AI engineers, data scientists, and solution architects. Foster a culture of innovation, ethical AI practices, and cross-functional collaboration. Develop internal training programs and partnerships with the learning team to increase AI literacy within our organization.
- Stakeholder Engagement & Communication: Act as the primary evangelist for AI across the organization, engaging with clients’ C-suite, business leaders, and external partners. Translate complex AI concepts into business value narratives for executive stakeholders. Represent the company in industry forums, conferences, and thought leadership platforms.
Qualifications:
- 15+ years of total experience in technology, with at least 5 years in AI/ML and leadership roles.
- Proven track record in deploying enterprise-grade AI systems, especially generative and agentic AI.
- Deep expertise in cloud platforms (AWS, Azure, GCP), vector databases, and MLOps.
- Strong understanding of AI governance, data strategy, and ethical AI frameworks.
- Excellent communication, stakeholder management, and strategic thinking skills.
COE GenAI Head employer: Qualitest
Contact Detail:
Qualitest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land COE GenAI Head
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and its AI initiatives. We recommend practising common interview questions and having your own questions ready to show your interest in their generative AI projects.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of your previous work in AI, especially if it relates to generative or agentic systems. This will help you stand out when applying through our website.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple gesture that shows your appreciation and keeps you fresh in their minds. We believe this can make a big difference!
We think you need these skills to ace COE GenAI Head
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and leadership roles. We want to see how your background aligns with the strategic vision of the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Technical Skills: Since this role involves a lot of tech, be sure to mention your expertise with cloud platforms like AWS, Azure, and GCP. We’re looking for someone who can hit the ground running, so let us know about any hands-on experience you have with AI systems and architectures.
Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain complex AI concepts and how they translate into business value. We appreciate clarity, especially when it comes to communicating with stakeholders!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Qualitest
✨Know Your AI Stuff
Make sure you brush up on the latest trends in generative AI and agentic systems. Be ready to discuss specific projects you've worked on, especially those involving cloud platforms like AWS, Azure, or GCP. This shows you're not just familiar with the technology but have hands-on experience.
✨Align with Their Vision
Understand the company's strategic goals and how they plan to leverage AI. Prepare to articulate how your vision for AI aligns with their objectives. This will demonstrate that you’re not only a tech expert but also a strategic thinker who can drive innovation.
✨Showcase Leadership Skills
Since this role involves leading a multidisciplinary team, be prepared to share examples of how you've built and mentored teams in the past. Highlight your experience in fostering a culture of innovation and ethical AI practices, as this is crucial for the position.
✨Engage with Stakeholders
Practice translating complex AI concepts into business value narratives. You might be asked to explain how AI can benefit various stakeholders, so think about how you would communicate these ideas to C-suite executives or external partners effectively.
