At a Glance
- Tasks: Lead solution architecture for AI/ML, translating complex business needs into scalable tech solutions.
- Company: Join a global leader in financial administration with a supportive and inclusive culture.
- Benefits: Flexible work, tailored health rewards, share purchase options, and recognition awards.
- Other info: Opportunities for continuous learning and diverse career paths await you.
- Why this job: Make an impact in AI/ML while growing your career in a dynamic environment.
- Qualifications: Expertise in intelligent document processing, OCR, AI/ML, and cloud platforms required.
The predicted salary is between 72000 - 88000 £ per year.
In this position, you’ll be based in the Edinburgh office for a minimum of three days a week, with the flexibility to work from home for some of your working week.
Within this role you will lead solution architecture and design activities, translating complex business requirements into secure, scalable, and resilient technology solutions. You will ensure that all designs adhere to established architectural principles, security standards, and regulatory requirements, while maintaining alignment with the organisation’s strategic objectives and technology roadmap.
As a trusted advisor, the Senior Solution Architect will guide stakeholders through key design decisions, assess architectural trade-offs, and ensure solutions remain fit for purpose both now and as future business needs evolve.
This role provides strategic direction and technical leadership across the Document Intelligence landscape, including intelligent document processing, workflow orchestration, AI/ML classification, OCR, API-led integration, event-driven architectures, automation platforms, data architecture, monitoring and observability, and operational governance.
Working closely with the Issuer Services and AI Architecture community, the Senior Solution Architect will contribute to defining and implementing technical strategies that drive consistency and excellence.
- Define and govern the global target-state architecture, roadmaps, standards, and reusable patterns for Document Intelligence across IDP, OCR, AI/ML, workflow orchestration, integrations, data, and observability.
- Design scalable solutions leveraging OCR, computer vision, machine learning, LLMs, and generative AI, incorporating robust governance, explainability, human oversight, and risk controls.
- Ensure adherence to security, privacy, regulatory, audit, records management, and AI governance requirements through architecture reviews and design governance.
- Support delivery teams through solution design, architecture assurance, technical risk management, implementation guidance, and operational readiness.
- Partner with business, product, architecture, security, risk, compliance, and delivery stakeholders to provide clear architectural direction and executive-level recommendations.
- Maintain key architecture deliverables, including reference architectures, roadmaps, solution designs, decision records, integration standards, governance frameworks, and risk assessments.
Proven expertise in intelligent document processing, OCR, workflow/BPM, AI/ML, cloud platforms, and API-led integration.
Flexible work to help you find the best balance between work and lifestyle. Health and wellbeing rewards that can be tailored to support you and your family. Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well. Extra rewards ranging from recognition awards and team get-togethers to helping you invest in your future.
Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare.
We're a rapidly evolving and diverse global business and there is always something to learn, opportunities to explore and a broad range of career paths to progress along. We're a global leader in financial administration with over 11,000 employees across more than 22 different countries. At Computershare, it’s more than just a job, our open and inclusive culture means that we will help you to grow, to move forward and make the most of our world of opportunities.
Senior Solution Architect (AI/ML) in Edinburgh employer: Computershare
Computershare is an exceptional employer, offering a flexible work culture that allows you to balance your professional and personal life while working in the vibrant city of Edinburgh. With a strong focus on employee growth, you will have access to tailored health and wellbeing rewards, opportunities for career advancement, and a supportive community of experienced colleagues dedicated to helping you succeed. Join us to be part of a global financial administration company that values innovation and collaboration, ensuring that your contributions make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solution Architect (AI/ML) in Edinburgh
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Computershare or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Computershare.
✨Tap into Online Developer Communities
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We think you need these skills to ace Senior Solution Architect (AI/ML) in Edinburgh
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Computershare.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Computershare and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Computershare
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Computershare uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.