Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI solutions for financial institutions.
- Company: Join a leading tech firm at the forefront of financial services innovation.
- Benefits: Competitive pay, career growth, and access to advanced technologies.
- Other info: Dynamic, inclusive culture focused on continuous learning and impactful projects.
- Why this job: Shape the future of AI in finance and work with global experts.
- Qualifications: 5+ years in AI or machine learning, with a strong financial services background.
The predicted salary is between 80000 - 100000 ÂŁ per year.
This is a highly technical, customer-facing role at the intersection of AI, accelerated computing, and financial services innovation. You will act as a trusted advisor to financial institutions, helping them design and deploy cutting‑edge AI and GPU‑accelerated solutions built on advanced computing infrastructure. The role combines deep technical expertise with strategic customer engagement, including proof‑of‑concepts, architecture design, and solution deployment. You will collaborate closely with engineering, product, and sales teams to translate complex technologies into scalable, real‑world financial applications. Operating in a fast‑moving environment, you will engage with data scientists, developers, quants, and senior stakeholders to drive adoption of next‑generation AI platforms. This role offers the opportunity to shape how AI is applied in financial services at global scale.
Accountabilities:
- Partner with financial institutions and their technology ecosystems to design and implement AI and GPU‑accelerated computing solutions.
- Provide technical leadership and architectural guidance across ideation, prototyping, and production deployment phases.
- Develop proof‑of‑concept solutions demonstrating the value of accelerated computing in financial workloads.
- Collaborate closely with product management, engineering, applied research, and sales teams to deliver end‑to‑end customer solutions.
- Engage with stakeholders including developers, data scientists, IT leaders, quants, and executives to ensure successful solution adoption.
- Support customer enablement by translating complex technical concepts into practical, deployable architectures.
- Stay current on advancements in AI, HPC, and data center technologies to continuously improve solution offerings.
- Contribute to strategic discussions on how emerging technologies can be applied within financial services environments.
Requirements:
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
- 5+ years of experience in AI, machine learning, or accelerated computing environments.
- Strong background working within financial services organizations or on financial domain use cases.
- Hands‑on experience developing or optimizing code for training and/or inference on GPU‑based systems.
- Strong understanding of AI infrastructure, software architecture, and high‑performance computing concepts.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud, including hybrid cloud environments.
- Knowledge of orchestration and infrastructure tools such as Kubernetes or OpenStack is highly valuable.
- Understanding of HPC environments, including data center architecture, networking (e.g., InfiniBand), and storage systems.
- Strong communication skills with the ability to work in fast‑evolving, cross‑functional environments.
- Self‑driven mindset with a passion for continuous learning and knowledge sharing.
Benefits:
- Competitive compensation package aligned with experience and market benchmarks.
- Opportunity to work on cutting‑edge AI and accelerated computing technologies.
- Exposure to global financial institutions and large‑scale enterprise AI deployments.
- Collaborative, innovation‑driven environment with leading experts in AI infrastructure.
- Strong career development opportunities in advanced computing and AI solution architecture.
- Inclusive and diverse workplace culture supporting continuous learning and growth.
- Opportunity to work on high‑impact projects shaping the future of AI in financial services.
- Access to advanced tools, technologies, and global engineering resources.
Solution Architect, Financial Services employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Financial Services
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the financial services and tech space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not even be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and GPU-accelerated solutions. This will give you an edge when chatting with hiring managers and help them see your expertise in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical teams and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Solution Architect, Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Solution Architect in Financial Services. Highlight your experience with AI, machine learning, and any relevant financial services projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and financial services. Share specific examples of how you've successfully implemented solutions in the past. Let us know why you’re the perfect fit for this role!
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Make sure to detail your hands-on experience with GPU-based systems, cloud platforms, and orchestration tools. We love seeing candidates who can translate complex tech into real-world applications.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy to do!
How to prepare for a job interview at Jobgether
✨Know Your Tech Inside Out
As a Solution Architect, you'll need to demonstrate your deep technical expertise. Brush up on AI, GPU-accelerated computing, and financial services innovations. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Financial Landscape
Familiarise yourself with the current trends in financial services, especially how AI is being integrated. Research the company’s clients and their technology ecosystems. This will help you tailor your responses and show that you can act as a trusted advisor to financial institutions.
✨Prepare for Scenario-Based Questions
Expect to tackle scenario-based questions that assess your problem-solving skills. Think of examples where you've designed or implemented solutions in fast-paced environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've engaged with stakeholders like data scientists, developers, and executives to drive project success. Emphasise your communication skills and ability to translate complex concepts into practical solutions.