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- Tasks: Design and implement AI solutions for the insurance sector, focusing on innovative architecture.
- Company: Leading tech firm revolutionising the insurance industry with AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on cutting-edge technology and impactful projects.
- Why this job: Join a pioneering team and shape the future of AI in insurance.
- Qualifications: 10-15 years in software/data/AI engineering with strong architecture experience.
The predicted salary is between 80000 - 120000 £ per year.
BU/Segment: Insurance
Location: London, United Kingdom (Hybrid)
Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture
Background: Strong experience in designing enterprise-scale platforms and distributed systems
Domain (good to have): Insurance/reinsurance / financial services
Profile Type: Hands-on architect with ability to balance strategy + execution
Technical skills:
- GenAI LLM integration (Azure OpenAI, OpenAI APIs, etc.)
- Prompt engineering, prompt lifecycle design
- Retrieval Embedding pipelines and retrieval optimization
- RAG design, grounding strategies, context management
- Tool Access API design (FastAPI / REST / microservices)
- Integration with enterprise systems and third-party APIs
- AI Safety Microsoft Presidio (PII detection/masking)
- Guardrails for prompt injection, hallucination control
Agentic AI Architect – Insurance Domain employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Architect – Insurance Domain
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to GenAI and AI architecture. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies specific to the insurance domain. Practice explaining complex concepts in simple terms – it’s all about clarity!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Agentic AI Architect – Insurance Domain
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Agentic AI Architect role. Highlight your experience in AI/ML architecture and any relevant projects you've worked on, especially in the insurance domain. 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 in the insurance sector and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills related to GenAI LLM integration and API design. We’re looking for someone who can balance strategy and execution, so make sure to provide examples of how you've done this in your previous roles.
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in GenAI LLM integration and prompt engineering. Brush up on Azure OpenAI and the relevant APIs, as you’ll likely be asked to discuss your hands-on experience with these technologies.
✨Showcase Your Architectural Skills
Prepare to talk about your experience designing enterprise-scale platforms and distributed systems. Have specific examples ready that demonstrate your ability to balance strategy and execution in your previous roles.
✨Understand the Insurance Domain
While it’s not mandatory, having a solid grasp of the insurance or financial services sector can set you apart. Familiarise yourself with industry-specific challenges and how AI can address them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially around AI safety and prompt lifecycle design. Think through potential scenarios where you might need to implement guardrails for prompt injection or manage context effectively.