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- Tasks: Lead AI transformation initiatives for insurance clients, designing and delivering innovative solutions.
- Company: Join a forward-thinking consulting firm with a focus on AI in the insurance sector.
- Benefits: Remote-first work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping AI solutions that transform the insurance industry.
- Qualifications: Experience in AI engineering, software development, and client-facing roles required.
- Other info: Dynamic role with opportunities for travel and collaboration with industry leaders.
The predicted salary is between 48000 - 84000 £ per year.
Overview: Remote-first role with occasional travel to client offices and two trips to London HQ per month.
Role Overview: Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm's long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments.
The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions.
Key Accountabilities:
- Client-Facing AI Engineering & Agentic System Design (Insurance-Focused): Design and deliver production-grade AI systems for insurance clients, including LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations; multi-agent architectures for insurance workflows; retrieval and vector-based systems; semantic layers, ontologies and knowledge models; integrations with core insurance platforms; prompt engineering at scale; safety constraints for hallucination control.
- Technical Discovery, Feasibility & Solution Architecture: Translate ambiguous insurance challenges into clear, feasible AI architectures; assess client data maturity; shape use cases; work directly with insurance SMEs; produce clear technical artefacts.
- Delivery Excellence, AI Ops & Reliability (Regulated Environments): Ensure solutions are enterprise-ready and regulator-safe by implementing evaluation frameworks; designing monitoring, logging and tracing; applying governance principles; supporting controlled releases; ensuring reliability and performance.
- Reusable Assets & Insurance AI Capability Building: Build reusable insurance-specific accelerators; contribute to internal playbooks; share emerging research; influence delivery methodology and technical standards.
Experience & Skills: This is a senior, hands-on consulting engineering role. Candidates should bring experience in software engineering, AI engineering or applied data engineering; strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases; experience designing or implementing multi-agent systems; strong Python skills; familiarity with cloud AI ecosystems; familiarity with semantic modelling; proven ability to prototype solutions; experience working directly with clients; insurance domain experience strongly preferred.
Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
LLM, RAG & Agentic Consulting Engineer - Insurance Sector in City of London employer: Good Chemical Science&Technology Co.Ltd.
Contact Detail:
Good Chemical Science&Technology Co.Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM, RAG & Agentic Consulting Engineer - Insurance Sector in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance sector and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI engineering projects, especially those relevant to insurance. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around technical challenges and client interactions. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to showcase your enthusiasm for joining our team and working on cutting-edge AI solutions in the insurance space.
We think you need these skills to ace LLM, RAG & Agentic Consulting Engineer - Insurance Sector in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with AI engineering and how it relates to the insurance sector. We want to see how you can bring your unique skills to our team!
Showcase Your Technical Skills: Don’t hold back on detailing your hands-on experience with LLMs, multi-agent systems, and Python. We’re looking for someone who can hit the ground running, so let us know what you've built and how it’s made an impact.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past projects and achievements. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Good Chemical Science&Technology Co.Ltd.
✨Know Your AI Inside Out
Make sure you have a solid grasp of LLMs, embeddings, and RAG pipelines. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios, especially in the insurance sector.
✨Understand the Insurance Landscape
Familiarise yourself with the specific challenges and opportunities within the insurance industry. Research common pain points like claims automation and underwriting efficiency, and think about how your skills can address these issues.
✨Prepare for Client-Facing Scenarios
Since this role involves direct interaction with senior insurance stakeholders, practice articulating complex technical concepts in a way that’s easy for non-technical clients to understand. Role-play potential client conversations to build your confidence.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss past projects where you translated ambiguous problems into clear, feasible AI solutions. Highlight your ability to assess data maturity and navigate regulatory constraints, as these are crucial in the insurance environment.
