Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI architectures for financial services projects.
- Company: Join a global technology consultancy at the forefront of AI delivery.
- Benefits: Enjoy opportunities for growth, collaboration, and working on exciting enterprise-level projects.
- Why this job: Be part of a dynamic team transforming the financial sector with innovative AI solutions.
- Qualifications: Experience in AI architecture and cloud solutions, especially AWS, Azure, or GCP is essential.
- Other info: This is a fantastic opportunity to shape the future of AI in finance.
The predicted salary is between 43200 - 72000 £ per year.
We are supporting a global technology consultancy to scale their AI delivery capability within the financial services space. They are hiring at various levels of seniority to deliver on a strong pipeline of projects across enterprise level projects.
- Design and implement multi-cloud AI architectures
- Architect and develop agentic AI solutions
- Collaborate with senior internal and external stakeholders to align AI solutions with strategic objectives
Experience in AI architecture, machine learning, or cloud-based AI solutions.
Familiarity leading AI transformation programs within the financial services sector.
Strong expertise in AWS, Azure, and GCP.
This is a great time to join a growing team in one of the most exciting markets for AI.
Solutions Architect - Technology Transformation employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect - Technology Transformation
✨Tip Number 1
Make sure to showcase your experience with AI architecture and cloud platforms like AWS, Azure, and GCP during networking events. Engaging in conversations about your past projects can help you stand out to potential employers.
✨Tip Number 2
Connect with professionals in the financial services sector who are involved in AI transformation. Attend industry conferences or webinars to build relationships and gain insights that could be beneficial for your application.
✨Tip Number 3
Join online forums or groups focused on AI and technology transformation. Participating in discussions can help you stay updated on trends and may lead to job referrals from peers in the field.
✨Tip Number 4
Consider reaching out to current employees at the consultancy through LinkedIn. A friendly message expressing your interest in the Solutions Architect role can provide valuable insights and potentially a referral.
We think you need these skills to ace Solutions Architect - Technology Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI architecture, machine learning, and cloud-based solutions. Emphasise any relevant projects you've worked on, especially within the financial services sector.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI transformation in financial services. Mention specific examples of how you've collaborated with stakeholders to align technology solutions with business objectives.
Showcase Technical Skills: Clearly outline your expertise in AWS, Azure, and GCP in both your CV and cover letter. Consider including specific projects or achievements that demonstrate your proficiency in these platforms.
Highlight Leadership Experience: If you have experience leading AI transformation programmes, make sure to highlight this. Discuss your role in guiding teams and driving project success, as this will resonate well with the consultancy's needs.
How to prepare for a job interview at TechYard
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI architecture, machine learning, and cloud-based solutions. Highlight specific projects where you've designed or implemented multi-cloud AI architectures, especially in the financial services sector.
✨Demonstrate Collaboration Skills
Since the role involves working with senior stakeholders, be ready to share examples of how you've successfully collaborated with both internal teams and external partners. Emphasise your ability to align technical solutions with strategic business objectives.
✨Familiarity with Key Platforms
Make sure you can speak confidently about your expertise in AWS, Azure, and GCP. Prepare to discuss how you've utilised these platforms in previous roles to deliver effective AI solutions.
✨Stay Updated on Industry Trends
The AI landscape is constantly evolving, so demonstrate your knowledge of the latest trends and technologies in AI and financial services. This shows your passion for the field and your commitment to continuous learning.
