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- Tasks: Design and implement cutting-edge AI solutions for financial services.
- Company: Join a global tech consultancy leading the charge in AI delivery.
- Benefits: Enjoy flexible work options and a dynamic team environment.
- Why this job: Be part of a rapidly growing sector with impactful projects and innovation.
- Qualifications: Experience in AI architecture and cloud solutions is essential.
- Other info: Opportunities available at various levels of seniority.
The predicted salary is between 48000 - 84000 £ 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 - Finance Transformation employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect - Finance Transformation
✨Tip Number 1
Familiarise yourself with the latest trends in AI and financial services. Being able to discuss current developments and how they impact the industry will show your passion and knowledge during interviews.
✨Tip Number 2
Network with professionals in the finance and AI sectors. Attend relevant conferences or webinars, and connect with people on LinkedIn to gain insights and potentially get referrals for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your hands-on experience.
✨Tip Number 4
Research the company’s recent projects and initiatives in AI transformation. Tailoring your conversation to align with their goals will show that you’re genuinely interested in contributing to their success.
We think you need these skills to ace Solutions Architect - Finance 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 those within the financial services sector.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI transformation in finance. Mention specific projects or experiences that align with the company's goals and how you can contribute to their success.
Showcase Relevant Skills: Clearly outline your expertise in AWS, Azure, and GCP. Provide examples of how you've used these platforms to deliver successful AI solutions, particularly in enterprise-level projects.
Highlight Collaboration Experience: Since the role involves collaborating with senior stakeholders, include examples of past experiences where you've successfully worked with internal and external teams to achieve strategic objectives.
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.
✨Understand the Company's Vision
Research the consultancy's current projects and their strategic objectives. Demonstrating knowledge about their work will show your genuine interest and help you align your answers with their goals during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've led AI transformation programs and be ready to explain your approach and the outcomes.
✨Emphasise Collaboration Skills
Since the role involves working with senior stakeholders, be ready to discuss how you've successfully collaborated with both internal teams and external partners. Share examples that highlight your communication and teamwork abilities.
