At a Glance
- Tasks: Lead the design of innovative AI platforms and solutions in the insurance domain.
- Company: Join EXL, a forward-thinking company committed to diversity and collaboration.
- Benefits: Enjoy competitive salary, private healthcare, and professional development opportunities.
- Other info: Flexible hybrid working model and excellent career growth potential.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 10-15 years in software/AI engineering with strong architecture experience.
The predicted salary is between 80000 - 100000 € per year.
Location: London, United Kingdom (Hybrid)
Employment Type: Permanent
Summary of the Role
We are seeking an experienced AI Solution Architect to lead the design and delivery of enterprise‑scale agentic AI platforms and GenAI‑enabled solutions. This role will define end‑to‑end architecture across AI, data, orchestration, integration, and platform layers, with a strong focus on scalable, secure, and explainable AI systems. The successful candidate will drive architecture strategy for multi‑step agentic workflows, RAG frameworks, vector search, prompt lifecycle management, and enterprise integrations across structured, unstructured, and external data sources. You will work closely with AI, data, and engineering teams to establish scalable platform patterns, governance frameworks, and ModelOps capabilities while ensuring alignment with business and technical objectives. This is a hands‑on leadership role requiring deep expertise in GenAI architecture, distributed systems, enterprise integrations, AI safety, and cloud‑native engineering practices. The ideal candidate will combine strong technical depth with the ability to lead cross‑functional teams, influence stakeholders, and translate complex AI capabilities into practical enterprise solutions.
Key Responsibilities
- Architecture & Technical Leadership
- Define end‑to‑end architecture for agentic AI‑enabled platform across data, AI, orchestration, and integration layers
- Design and govern agentic orchestration framework for multi‑step workflows
- Establish architecture patterns for RAG and grounding, vector search and retrieval, MCP tool access layer, prompt management and evaluation
- Platform & Integration Design
- Define integration architecture across Lakehouse, ODS, document systems; underwriting systems and third‑party APIs
- Design configurable, metadata‑driven framework for multi‑LOB onboarding
- AI & GenAI Enablement
- Define where and how to use GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
- Design prompt lifecycle, evaluation, and optimization strategy
- Governance, Safety & ModelOps
- Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish ModelOps and PromptOps frameworks
- Ensure explainability, auditability, and traceability of AI outputs
- Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full‑stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
Qualifications
- 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
- Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
- Profile Type: Hands‑on architect with ability to balance strategy + execution
Technical Skills
- Retrieval & RAG: Azure AI Search (indexing, vector search, hybrid search); embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
- Tool Access & Integration: MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); integration with enterprise systems and third‑party APIs
- AI Safety & Governance: NVIDIA NeMo Guardrails; Microsoft Presidio (PII detection/masking); guardrails for prompt injection, hallucination control
- Evaluation & ModelOps: Azure AI Foundry (model hosting, versioning, monitoring); evaluation frameworks (LLM‑as‑judge, test datasets); Prompt/version control, cost/latency monitoring
- DevOps & Observability: CI/CD pipelines (Azure DevOps / GitHub Actions); logging, monitoring, observability (App Insights, etc.); performance tuning and scalability
Benefits
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well‑being solutions, such as cashback cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
To be considered for this role, you must already be eligible to work in the United Kingdom.
AI Solution Architect employer: exl
EXL is an exceptional employer located in London, offering a dynamic hybrid work environment that fosters collaboration and innovation. With a strong commitment to employee growth, we provide extensive professional development opportunities, competitive benefits including private healthcare and a generous pension plan, and a culture that values diversity and inclusion. Join us to be part of a forward-thinking team that empowers you to excel in your career while enjoying a balanced lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI architecture. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI solutions. Think about how you would tackle real-world problems and be ready to discuss your thought process and decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace AI Solution Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Solution Architect role. Highlight your experience in designing enterprise-scale platforms and your expertise in GenAI architecture. We want to see how your skills align with our needs!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention specific tools and frameworks you’ve worked with, like Azure AI Search or ModelOps. We love seeing candidates who can demonstrate their hands-on experience in AI and cloud-native engineering.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at exl
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the specifics of AI architecture, especially in relation to agentic AI platforms. Brush up on your knowledge of RAG frameworks, vector search, and prompt lifecycle management. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them practically.
✨Demonstrate Your Hands-On Experience
Since this role requires a hands-on approach, be prepared to share specific examples from your past work. Talk about how you've designed enterprise-scale platforms or led cross-functional teams. Highlight any challenges you faced and how you overcame them, as this will showcase your problem-solving skills and leadership abilities.
✨Align with Business Objectives
Understand the company’s business goals and how your technical expertise can help achieve them. Be ready to discuss how you would ensure alignment between architecture strategy and business needs. This shows that you’re not just a techie but also someone who thinks strategically about the impact of technology on the business.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI safety, governance, and ModelOps frameworks. Review key concepts and be ready to explain how you would implement safety measures like PII detection and hallucination control. Practising these discussions will help you articulate your thoughts clearly during the interview.
