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For Companies At a Glance
- Tasks: Design and build AI services and products while managing projects.
- Company: Join a leading FTSE 250 company driving AI technology adoption.
- Benefits: Enjoy a competitive salary, bonuses, and access to top IT professionals.
- Why this job: Be part of an innovative team shaping the future of AI in a dynamic environment.
- Qualifications: Experience in AI solution architecture and leading delivery teams is essential.
- Other info: Opportunity for hands-on work in an Agile setting with strong corporate influence.
The predicted salary is between 54000 - 84000 £ per year.
A Solutions Architect in Artificial Intelligence is required by a FTSE 250 giant with B2B & B2C business offerings. The company is looking to quickly accelerate the adoption of AI technology across the company, in which this role will play a key part. Reporting into the Group AI Leader, the Solutions Architect will be focused on designing and building AI services and products for the business. You will project manage and have access to World Class IT professionals to do so. You will have experience of end-to-end Artificial Intelligence solution architecture projects within an enterprise company.
Experience Required:
- Experience of building and leading Delivery teams in the context of AI projects
- Still hands-on, comfortable in rolling up your sleeves
- Working in an Agile environment
- Strong understanding of the Architectures that underlie different parts of AI & Machine Learning solution development
- Strong Interpersonal Skills with the ability to influence within a large corporate environment
If this Solutions Architect role with a focus on Artificial Intelligence development sounds like something you might be interested in, please click on the link and send us your CV, or contact us directly for a confidential conversation.
Solution Architect – AI & Machine Learning employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect – AI & Machine Learning
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Machine Learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI space, especially those who work in similar roles. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Prepare to showcase your hands-on experience with AI projects. Be ready to discuss specific challenges you faced and how you overcame them, as this will highlight your problem-solving skills and practical knowledge.
✨Tip Number 4
Brush up on Agile methodologies, as this role requires working in an Agile environment. Understanding how to effectively manage projects and collaborate with teams in this framework will be crucial.
We think you need these skills to ace Solution Architect – AI & Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning solution architecture. Focus on specific projects you've led or contributed to, especially those in an enterprise context.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI technology and your understanding of its applications in both B2B and B2C environments. Mention how your skills align with the company's goals.
Highlight Relevant Experience: In your application, emphasise your hands-on experience in AI projects and your ability to lead delivery teams. Provide examples of how you've successfully influenced stakeholders in a corporate setting.
Showcase Agile Methodology Knowledge: Demonstrate your familiarity with Agile practices in your application. Mention any specific methodologies you’ve used and how they contributed to the success of your AI projects.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI and machine learning architectures in detail. Highlight specific projects where you led the design and implementation of solutions, and be ready to explain the technologies and methodologies you used.
✨Demonstrate Agile Experience
Since the role requires working in an Agile environment, share examples of how you've successfully managed projects using Agile methodologies. Discuss your role in sprints, stand-ups, and how you adapt to changing requirements.
✨Highlight Leadership Skills
As a Solutions Architect, you'll need to lead delivery teams. Talk about your experience in building and managing teams, and provide examples of how you've influenced stakeholders and driven projects to success within a corporate setting.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles and how you overcame them, particularly in the context of AI projects.
