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- Tasks: Lead AI initiatives, mentor teams, and design product roadmaps.
- Company: Join a fast-growing digital consultancy shaping the future of technology.
- Benefits: Enjoy flexible working options and a dynamic work environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong leadership in engineering, data, programming, and understanding of LLM and NLP required.
- Other info: Experience in consultancy or startups is a plus.
The predicted salary is between 72000 - 108000 £ per year.
I am currently looking for a Head of AI for a rapidly growing and evolving digital consultancy. The role will be to grow the capability, to hire, to mentor and work closely with the business C-level stakeholders and architect and design the product roadmaps and own the full AI lifecycle.
We are keen to talk to anyone who has worked in a leadership role and has a strong engineering background in either data or programming and has a strong understanding of devops and collaborating. A good understanding of LLM and NLP is key.
If you have consultancy experience, public sector or have helped build a start up or experience in stealth mode then we would like to talk with you.
Head of Artificial Intelligence employer: Berkeley Square - Talent Specialists in IT & Engineering
Contact Detail:
Berkeley Square - Talent Specialists in IT & Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Artificial Intelligence
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience in consultancy or leadership roles. Attend industry events, webinars, and meetups to connect with potential colleagues and mentors who can provide insights into the role and the company culture.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully led a team or project. Be prepared to share specific examples of how you mentored others and drove innovation within your previous roles.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in AI, particularly in LLM and NLP. Being able to discuss recent advancements and how they can be applied in a consultancy setting will demonstrate your expertise and passion for the field.
✨Tip Number 4
Research the company’s current projects and clients to understand their needs and challenges. Tailor your discussions to show how your background in engineering and devops can directly contribute to their goals and enhance their AI capabilities.
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in AI, data engineering, and programming. Emphasise any consultancy roles or projects you've led, especially those involving LLM and NLP.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the company's goals. Mention specific experiences that demonstrate your ability to mentor and collaborate with C-level stakeholders.
Showcase Relevant Projects: Include examples of projects where you've designed product roadmaps or managed the full AI lifecycle. Highlight any experience in the public sector or start-up environments, as these are particularly relevant.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. These are crucial for a leadership role, especially when working closely with various stakeholders in a consultancy setting.
How to prepare for a job interview at Berkeley Square - Talent Specialists in IT & Engineering
✨Showcase Your Leadership Experience
As a candidate for the Head of AI position, it's crucial to highlight your previous leadership roles. Be prepared to discuss specific examples of how you've successfully led teams, mentored individuals, and collaborated with C-level stakeholders.
✨Demonstrate Technical Proficiency
Make sure to articulate your strong engineering background in data or programming. Be ready to discuss your experience with devops, LLM, and NLP, as these are key components of the role. Providing concrete examples of projects you've worked on will strengthen your case.
✨Understand the Business Context
Since this role involves working closely with business stakeholders, it's important to demonstrate your understanding of how AI can drive business value. Prepare to discuss how you've aligned AI initiatives with business goals in your previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about challenges you've faced in previous roles and how you overcame them, particularly in a consultancy or startup environment.
