At a Glance
- Tasks: Design and deliver cutting-edge AI solutions for a major financial services client.
- Company: Join a global tech consultancy leading AI transformation in banking.
- Benefits: Competitive salary, bonuses, excellent benefits, and hybrid work model.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience as an AI Architect with strong GCP knowledge required.
The predicted salary is between 80000 - 100000 £ per year.
AI Platform Architect
Location
London (Hybrid - 1-2 days per week)
Salary
£80,000 - £100,000 + Bonus & Excellent Benefits
We're partnering with a global technology consultancy delivering one of the UK's largest AI transformation programmes within the banking sector.
As an
AI Architect , you'll play a key role in designing and delivering enterprise-scale AI solutions for a major financial services client.
Working across architecture, engineering, and business teams, you'll define AI strategy, design scalable cloud-native solutions, and ensure AI platforms are secure, governed, and ready for production.
- What You'll Be Doing
- Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring.
- Define scalable cloud-native AI solutions using Google Cloud Platform (GCP).
- Lead the architecture of enterprise AI platforms supporting both traditional Machine Learning and Generative AI use cases.
- Drive best practices across MLOps, LLMOps and Agent Ops, including CI/CD, model registries, feature stores, lineage tracking and observability.
- Design secure, resilient real-time, batch and streaming AI inference solutions.
- Ensure AI solutions meet governance, security, regulatory and compliance requirements within financial services.
- Collaborate with engineering, data, security and business teams to deliver production-ready AI capabilities.
- Provide technical leadership and architectural guidance across multiple workstreams.
What We're Looking For
- Proven experience as an AI Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions.
- Strong experience designing end-to-end AI/ML platforms and production-ready architectures.
- Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services.
- Experience with MLOps, LLMOps or AI platform engineering, including model lifecycle management and deployment pipelines.
- Strong understanding of AI governance, model risk, auditability and responsible AI practices.
- Experience working within regulated industries, ideally banking or financial services.
- Knowledge of cloud security, IAM, networking and secure architecture principles.
- Excellent stakeholder management skills with the ability to engage both technical and business audiences.
Desirable Experience
- Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents.
- Kubernetes, Docker, Terraform or Infrastructure as Code.
- Experience delivering AI transformation programmes within enterprise organisations.
- #J-18808-Ljbffr
AI Platform Architect employer: 83zero
At 83zero, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our home-based Senior Pre-Sales Solutions Engineer role not only provides the flexibility to manage your own schedule but also presents ample opportunities for professional growth within a high-performing team dedicated to tackling data protection challenges. Join us in London and the South UK region, where your contributions will be valued, and your career can flourish in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Architect
✨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 83zero 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 83zero.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 83zero.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 83zero that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Platform Architect
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 83zero.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 83zero 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 83zero
✨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 83zero 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.
