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- Tasks: Design and own a secure, scalable multi-cloud AI Platform across Azure and AWS.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy a competitive salary, hybrid working, generous leave, and career development opportunities.
- Why this job: Make a real impact in AI by shaping cutting-edge technology and solutions.
- Qualifications: Experience in designing AI/ML platforms and strong knowledge of cloud architecture.
- Other info: Inclusive culture with flexible working options to support your work-life balance.
The predicted salary is between 80000 - 100000 ÂŁ per year.
You’ll make an impact by:
- Defining and owning the architecture for a secure, scalable multi‑cloud AI Platform across Azure and AWS.
- Designing key platform capabilities, including ML pipelines, model hosting, observability, GenAI patterns and AI safety controls.
- Evaluating AI tooling and making evidence‑based technology decisions that balance engineering needs, security, governance and cost.
- Creating clear architectural standards, blueprints and documentation to guide consistent platform development.
- Enabling seamless integration across cloud environments and internal systems to support data, model and service interoperability.
- Supporting AI use case delivery by ensuring solution designs align with platform capabilities and governance requirements.
- Providing architectural oversight during implementation and embedding responsible AI, security and compliance expectations.
- Driving cost‑efficient, reliable and resilient design across training, inference and data workflows.
- Representing the AI Platform in governance forums and aligning designs with wider cloud, data and enterprise architecture strategies.
- Partnering with engineering, data science and business teams to ensure the platform meets diverse and evolving user needs.
Your skills and experience:
- Experience designing enterprise‑grade AI or ML platforms across Azure and AWS.
- Strong knowledge of ML/AI platform components, including pipelines, orchestration, feature stores, model hosting and observability.
- Expertise in GenAI architecture, including LLM hosting, vector databases, RAG patterns, guardrails and evaluation frameworks.
- Solid understanding of multi‑cloud architecture, networking, IAM, security and cross‑cloud integration.
- Experience comparing AI/ML tooling and making clear, evidence‑based architectural recommendations.
- Awareness of responsible AI, data‑protection and regulatory expectations relevant to AI/ML.
- Skilled in producing high‑quality architectural models and documentation.
- Experience designing scalable, cost‑efficient training and inference architectures.
- Ability to troubleshoot complex issues and support engineering and ML teams.
- Background in enterprise or regulated environments (e.g., financial services) is beneficial.
Why You’ll Love It Here:
- Annual discretionary bonus
- Up to 11% pension contributions
- Hybrid working + flexible hours
- 25 days annual leave + bank holidays + buy/sell options
- Career development and mentoring
- Inclusive culture + employee networks
- Share investment options
Our DEI Commitment: We celebrate individuality and believe our differences make us stronger. We’re proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone’s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work–life balance. If you need adjustments during the recruitment process, just let us know we’re here to support you.
AI Platform Architect employer: RSA Group
Contact Detail:
RSA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI platforms. This gives you a chance to demonstrate your expertise in ML pipelines and cloud architecture, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and multi-cloud architectures. Practice explaining your thought process when designing scalable solutions, as this will help you articulate your experience effectively during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our inclusive culture.
We think you need these skills to ace AI Platform Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and ML platforms, especially across Azure and AWS. We want to see how your skills align with the job description, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on specific technologies and methodologies you've used in your previous roles. Mention any architectural standards or blueprints you've created, as this will resonate with us at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points for easy reading and ensure your documentation skills shine through. We appreciate clarity, especially when it comes to complex topics like multi-cloud architecture.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, we can ensure your application is reviewed promptly and you get the best chance to make an impact with us!
How to prepare for a job interview at RSA Group
✨Know Your Architecture Inside Out
Make sure you’re well-versed in the architecture of AI platforms, especially across Azure and AWS. Brush up on key components like ML pipelines, model hosting, and observability. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can also apply it practically.
✨Prepare Evidence-Based Recommendations
When discussing AI tooling, come prepared with examples of how you've made evidence-based decisions in the past. This could include comparing different tools or architectures and explaining your rationale. It’s all about demonstrating your analytical skills and ability to balance engineering needs with security and cost.
✨Showcase Your Documentation Skills
Since creating clear architectural standards and documentation is part of the role, be ready to talk about your experience in this area. Bring examples of high-quality architectural models or blueprints you’ve produced. This will highlight your attention to detail and your ability to guide consistent platform development.
✨Emphasise Collaboration and Governance
The role involves partnering with various teams, so be prepared to discuss how you’ve successfully collaborated in the past. Highlight any experience you have in governance forums or aligning designs with broader strategies. This shows you understand the importance of teamwork and compliance in delivering successful AI solutions.