At a Glance
- Tasks: Design and deploy AI solutions, leading GenAI orchestration and integration.
- 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: Collaborate with senior engineers and influence enterprise roadmaps.
- Why this job: Shape the future of AI in a dynamic environment with real impact.
- Qualifications: Expertise in Azure AI, AWS Bedrock or Google Vertex required.
The predicted salary is between 70000 - 90000 β¬ 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 in Reading employer: Infosec
Join a forward-thinking company in the Insurance Sector that prioritises innovation and employee development. As an AI Solutions Architect, you'll thrive in a collaborative work culture that encourages creativity and offers extensive growth opportunities, all while working in a dynamic environment that embraces cutting-edge technology. With a focus on shaping the future of AI integration, this role provides a unique chance to make a meaningful impact within a supportive team dedicated to excellence.
StudySmarter Expert Adviceπ€«
We think this is how you could land AI Solutions Architect in Reading
β¨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector or AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
β¨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those involving cloud architecture and integration. This will give potential employers a taste of what you can do.
β¨Tip Number 3
Prepare for interviews by brushing up on GenAI orchestration and API design. Be ready to discuss how you've tackled challenges in previous roles, especially in regulated environments.
β¨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and passions, so take advantage of it and get your application in!
We think you need these skills to ace AI Solutions Architect in Reading
Some tips for your application π«‘
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI solutions, cloud architecture, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for the role. Donβt forget to mention specific technologies like Azure AI or AWS Bedrock that youβve worked with.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve GenAI orchestration or API design. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we canβt wait to see what you bring to the table!
How to prepare for a job interview at Infosec
β¨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 youβre not just familiar with the tools but can also apply them effectively.
β¨Showcase Your Architecture Skills
Prepare to talk about your experience designing API-first and event-driven architectures. Have specific examples ready that demonstrate your ability to create secure, resilient, and scalable solutions. This is your chance to shine a light on your architectural prowess!
β¨Be Proactive and Consultative
During the interview, adopt a proactive approach. Share how you've influenced enterprise roadmaps or governance forums in the past. This will highlight your consultative nature and your comfort in engaging with senior stakeholders, which is crucial for this role.
β¨Understand the Bigger Picture
Familiarise yourself with the insurance sector and how AI is transforming it. Being able to discuss industry trends and challenges will demonstrate your passion for the field and your ability to contribute to next-generation AI solutions.