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For Companies At a Glance
- Tasks: Lead the design of AI-powered customer support systems and drive architectural strategy.
- Company: Innovative tech firm focused on transforming customer engagement through AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of customer support with cutting-edge AI technologies.
- Qualifications: 15 years in software architecture, with a focus on AI/ML systems.
- Other info: Join a dynamic team and mentor future leaders in architecture.
The predicted salary is between 72000 - 108000 ÂŁ per year.
We are seeking a visionary and technically accomplished AVP Solutions Architect to lead the design and evolution of AI-first customer support and call center platforms. This role is pivotal in shaping the architectural strategy for scalable intelligent and integrated AI solutions that transform customer engagement through automation, natural language understanding, and real‑time decisioning.
Major Responsibilities
- Architectural Leadership: Define and drive the end-to-end architecture for AI-powered customer support systems including virtual agents, intelligent IVRs, real‑time analytics, and agent‑assist tools.
- AI Integration: Lead the integration of LLMs, speech‑to‑text, text‑to‑speech, NLU/NLP, and predictive analytics into telephony and omnichannel support platforms.
- Technology Strategy: Develop and maintain a forward-looking architecture roadmap aligned with business goals, emerging AI trends, and evolving customer expectations.
- Cross‑Functional Collaboration: Partner with product engineering, data science, and operations teams to ensure architectural alignment and delivery excellence.
- Vendor & Platform Evaluation: Evaluate and integrate third‑party platforms (e.g. Twilio, Genesys, NICE, Azure Communication Services) and AI services (e.g. OpenAI, Azure AI).
- Scalability & Reliability: Ensure systems are designed for high availability, low latency, and enterprise‑grade security and compliance.
- Mentorship & Governance: Build and mentor a high‑performing architecture team and establish architectural governance processes.
Qualifications
Must Have:
- 15 years of experience in software architecture with at least 5 years focused on AI/ML‑based systems.
- Deep understanding of call center technologies including telephony protocols (SIP, WebRTC), IVR systems, CTI, and contact center platforms.
- Proven experience designing and deploying AI‑driven customer support solutions (e.g. chatbots, voicebots, agent‑assist, sentiment analysis).
- Strong knowledge of cloud‑native architectures (AWS, Azure, GCP) and microservices.
- Familiarity with real‑time data processing, event‑driven systems, and API‑first design.
- Experience with AI/ML frameworks and tools (e.g. TensorFlow, PyTorch, LangChain, RAG pipelines).
- Excellent communication and leadership skills with the ability to influence at all levels.
Nice to Have:
- Experience with regulatory and compliance frameworks (e.g. GDPR, HIPAA, PCI‑DSS) in customer support environments.
- Background in enterprise SaaS or B2B platforms.
- Contributions to open‑source AI or telephony projects.
Key Skills:
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project Management
- AWS
- Infrastructure
- Web Services
- jQuery
- Java
- Computer Engineering
- Solutions Design
- Technical Solutions
- Analytics
Employment Type: Full Time
Experience: years
Vacancy: 1
Solution Architect in London employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect in London
✨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 a personal website showcasing your projects, especially those related to AI and customer support solutions. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role of a Solutions Architect. Think about how you would approach architectural challenges and be ready to discuss your past experiences in detail.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Solution Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Solution Architect role. Highlight your experience in AI/ML systems and call centre technologies, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI-driven customer support solutions. Share specific examples of your past work that demonstrate your architectural leadership and technical prowess.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We want to see your familiarity with cloud-native architectures, AI/ML frameworks, and any relevant tools you've used. This is your chance to shine!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Chubb
✨Know Your Architecture Inside Out
Make sure you’re well-versed in the architectural principles relevant to AI-powered customer support systems. Brush up on your knowledge of telephony protocols, IVR systems, and cloud-native architectures. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your AI Integration Skills
Prepare to discuss your experience with integrating AI technologies like LLMs and NLU/NLP into customer support platforms. Have specific examples ready that highlight your role in these projects, focusing on the challenges you faced and how you overcame them. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Emphasise Cross-Functional Collaboration
Since this role involves working closely with product engineering and data science teams, be ready to share examples of successful collaborations. Talk about how you’ve aligned architectural strategies with business goals and how you’ve ensured delivery excellence across teams. This shows you’re a team player who values collaboration.
✨Prepare for Technical Questions
Expect to face technical questions related to AI/ML frameworks and tools. Brush up on your knowledge of TensorFlow, PyTorch, and microservices architecture. Practising common interview questions in this area can help you articulate your thoughts clearly and confidently during the interview.
