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- 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 48000 - 84000 £ per year.
Solution Architect AI & Machine Learning
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.
Salary: Very competitive + bonus & benefits
A Solutions Architect in Artificial Intelligence is required by a FTSE 250 giant with B2B & B2C business offerings.
The company are 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 focus in 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.
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Solution Architect AI & Machine Learning (London) 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 (London)
✨Tip Number 1
Network with professionals in the AI and Machine Learning field. Attend industry events, webinars, or meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your hands-on experience by discussing specific projects you've worked on. Be prepared to explain your role in these projects and how you contributed to their success, especially in an Agile environment.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in AI and Machine Learning. Being knowledgeable about current advancements will not only impress during interviews but also demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss your interpersonal skills and how you've influenced teams in previous roles. Think of examples where you've successfully led delivery teams or collaborated with stakeholders to achieve project goals.
We think you need these skills to ace Solution Architect AI & Machine Learning (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning projects. Emphasise your role in leading delivery teams and any hands-on experience you have, as this is crucial for the Solutions Architect position.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements mentioned in the job description. Discuss your understanding of AI architectures and how your interpersonal skills can influence project outcomes within a corporate environment.
Showcase Relevant Projects: Include specific examples of past projects where you successfully implemented AI solutions. Detail your role, the challenges faced, and the results achieved to demonstrate your capability in this field.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any grammatical errors or typos, and ensure that your formatting is consistent and professional.
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 technical challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since the role involves leading delivery teams, share examples of how you've successfully managed teams in previous projects. Discuss your approach to fostering collaboration and ensuring that everyone is aligned with project goals.
✨Emphasise Agile Experience
Given the importance of working in an Agile environment, be sure to articulate your familiarity with Agile methodologies. Provide examples of how you've applied Agile principles in past projects and how it contributed to successful outcomes.
✨Prepare for Interpersonal Questions
Strong interpersonal skills are crucial for this role. Be ready to discuss situations where you've had to influence stakeholders or navigate complex corporate dynamics. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
