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- Tasks: Design and deploy cutting-edge AI solutions in cloud environments.
- Company: Leading business in the Insurance Sector focused on next-gen AI capabilities.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team and make a real impact in a regulated environment.
- Why this job: Shape the future of AI while influencing enterprise strategies and standards.
- Qualifications: Expertise in Azure AI, AWS Bedrock or Google Vertex, and strong integration security knowledge.
The predicted salary is between 36000 - 60000 £ per year.
Are you an experienced Architect passionate about shaping how organisations deploy and scale AI? I’m supporting a leading business in the Insurance Sector as they build next-generation AI and integration capabilities across their enterprise.
You’ll work at the intersection of GenAI engineering, cloud architecture, and enterprise integration, helping define end-to-end solutions that are secure, resilient, and scalable.
What you’ll be doing:
- Designing and deploying AI-enabled solutions across cloud environments.
- Leading on GenAI orchestration (LangChain, Autogen, Google ADK).
- Architecting RAG pipelines, vector database integrations, and prompt management strategies.
- Building guardrail frameworks to prevent hallucinations, injection and bias.
- Designing API-first and event-driven architectures.
- Influencing enterprise roadmaps, governance forums and technical standards.
- Partnering with senior engineers, value streams, and product stakeholders.
What you’ll bring:
- Expertise in Azure AI, AWS Bedrock or Google Vertex.
- Strong experience with LLM evaluation/MES frameworks.
- Deep knowledge of integration security, API design and cloud-native patterns.
- Experience delivering solutions in regulated environments (desirable).
- Naturally proactive, consultative and comfortable influencing at senior levels.
AI Solutions Architect employer: Infosec
Contact Detail:
Infosec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector or AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI solutions and cloud architecture projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research the company’s current AI initiatives and think about how your experience with Azure AI or AWS Bedrock can add value. Tailor your answers to show you’re the perfect fit.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in joining us!
We think you need these skills to ace AI Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Solutions Architect role. Highlight your expertise in cloud environments and any relevant projects you've worked on, especially those involving GenAI orchestration.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a perfect fit for this position. Be sure to mention specific technologies like Azure AI or AWS Bedrock that you've worked with.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We want to see your thought process and how you approach designing secure and scalable solutions.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Infosec
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Azure AI, AWS Bedrock, and Google Vertex. Be ready to discuss how you've used these technologies in past projects, especially in regulated environments. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Architecture Skills
Prepare to talk about your experience designing and deploying AI-enabled solutions. Think of specific examples where you’ve led GenAI orchestration or architected RAG pipelines. Highlight your ability to create secure and scalable architectures, as this is crucial for the role.
✨Be Proactive and Consultative
Demonstrate your proactive nature by discussing how you've influenced enterprise roadmaps or technical standards in previous roles. Share instances where you’ve partnered with senior engineers or stakeholders to drive projects forward. This will show that you can navigate complex organisational structures.
✨Understand Integration Security
Since integration security is a key part of the job, be prepared to discuss your deep knowledge in this area. Talk about your experience with API design and cloud-native patterns, and how you’ve implemented guardrail frameworks to prevent issues like hallucinations and bias in AI systems.