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- Tasks: Lead AI transformation initiatives for insurance clients, designing and delivering innovative solutions.
- Company: Join a forward-thinking consulting firm focused 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 environment with opportunities to work directly with senior insurance stakeholders.
The predicted salary is between 72000 - 108000 £ 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): You will 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, including triage, decision support, escalation, delegation and human-in-the-loop controls
- Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation
- Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies
- Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers
- Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability
- Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases
- Technical Discovery, Feasibility & Solution Architecture: Working closely with consulting counterparts, you will:
- Translate ambiguous insurance challenges into clear, feasible AI architectures
- Assess client data maturity, policy document quality, legacy platforms and security constraints
- Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation
- Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities
- Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences
- Delivery Excellence, AI Ops & Reliability (Regulated Environments): You will ensure solutions are enterprise-ready and regulator-safe by:
- Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias
- Designing monitoring, logging and tracing suitable for regulated insurance environments
- Applying governance, risk and compliance principles (e.g. audit trails, explainability, access controls)
- Supporting controlled releases and operational handover into insurer IT and operations teams
- Ensuring reliability, reproducibility, performance and cost discipline at insurance scale
- Reusable Assets & Insurance AI Capability Building: As part of a consulting-led engineering practice, you will:
- Build reusable insurance-specific accelerators, agent patterns and reference architectures
- Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases
- Share emerging research, frameworks and AI trends relevant to the insurance sector
- Influence delivery methodology, technical standards and agentic design patterns for regulated industries
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 or tool-calling frameworks
- Strong Python skills with experience building production-grade, regulated systems
- Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic)
- Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains
- Proven ability to rapidly prototype and validate solutions with business stakeholders
- Experience working directly with clients in consulting, professional services or regulated enterprise environments
- Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred
LLM, RAG & Agentic Consulting Engineer - Insurance Sector in 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector, especially those who work with AI. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those relevant to insurance. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s recent projects and challenges in the insurance space. Tailor your responses to show how your experience with LLMs and agentic systems can directly benefit their operations. It’s all about making that connection!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that dream job!
We think you need these skills to ace LLM, RAG & Agentic Consulting Engineer - Insurance Sector in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the LLM, RAG & Agentic Consulting Engineer role. Highlight your experience with AI systems and insurance, and show us how your skills align with what we're looking for.
Showcase Your Technical Skills: We want to see your hands-on experience! Include specific examples of projects where you've worked with LLMs, multi-agent systems, or any relevant AI technologies. This is your chance to shine!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don't forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Good Chemical Science&Technology Co.Ltd.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, embeddings, and RAG pipelines. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in the insurance sector. This will show that you not only understand the theory but can also implement it effectively.
✨Understand the Insurance Landscape
Familiarise yourself with the key challenges in the insurance industry, such as claims automation and fraud detection. Prepare examples of how you've tackled similar issues in past roles or projects. This will demonstrate your ability to translate complex problems into actionable AI solutions.
✨Showcase Your Client-Facing Skills
Since this role involves working directly with senior stakeholders, practice articulating your ideas clearly and confidently. Think about how you can convey technical concepts to non-technical audiences, and be prepared to share experiences where you've successfully engaged with clients.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Review your experience with Python, cloud AI ecosystems, and multi-agent systems. Be ready to solve problems on the spot or discuss your approach to designing enterprise-ready solutions in regulated environments.
