At a Glance
- Tasks: Lead the design and delivery of innovative Generative AI solutions for banking clients.
- Company: Join EXL, a global leader in data and AI with a collaborative culture.
- Benefits: Enjoy competitive salary, private healthcare, and flexible hybrid working.
- Other info: Great opportunities for professional development and a commitment to diversity.
- Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
- Qualifications: 7+ years in tech roles with hands-on experience in Generative AI solutions.
The predicted salary is between 81000 - 99000 £ per year.
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
We are seeking an experienced and hands-on Generative AI Solution Architect to lead the design and delivery of enterprise-scale AI solutions within the banking and financial services sector. The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions.
This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment.
As part of your duties, you will be responsible for:
- Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients.
- Translate business requirements and regulatory considerations into scalable, production-ready AI architectures.
- Design and implement advanced GenAI solutions, including:
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- Knowledge Management Platforms
- Enterprise Workflow Automation
- Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption.
- Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation.
- Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption.
- Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation.
- Facilitate client workshops and present technical solutions to both executive and technical stakeholders.
Qualifications and experience we consider to be essential for the role:
- 7+ years of experience in technology, architecture, or engineering roles.
- Minimum 3 years of hands-on experience delivering Generative AI solutions in production environments.
- Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage.
- Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms.
- Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI.
- Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes.
- Strong cloud architecture experience across Azure, AWS, or GCP.
- Experience in model deployment, monitoring, observability, governance, versioning, and operational support.
- Excellent stakeholder management skills with proven experience engaging clients and senior business leaders.
- Strong understanding of enterprise security, risk management, and responsible AI principles.
Skills and Personal attributes we would like to have:
- Banking, Financial Services, or other highly regulated industry experience.
- Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting.
- Data architecture, data modernisation, data platforms, or lakehouse expertise.
- Experience supporting large-scale cloud migration or transformation programmes.
- Knowledge of AI governance, model risk management, and regulatory requirements within financial services.
- Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir.
- Strong consulting and problem-solving mindset.
- Ability to balance strategic architecture with hands-on technical delivery.
- Excellent communication and presentation skills.
- Commercially aware and client-focused.
- Comfortable working in fast-paced, evolving technology environments.
- Passionate about innovation and the practical application of Generative AI within enterprise organisations.
As part of a leading global Data and AI company, you can look forward to:
- A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
- EXL provides everyday financial well-being solutions, such as cash back 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.
Data & AI Solution Architect – Generative AI Products & Delivery employer: Ex
EXL is an excellent employer that fosters a collaborative and innovative work culture, where data professionals can thrive in a hybrid environment in London. With a strong emphasis on employee growth, EXL offers opportunities for continuous learning and development in cutting-edge technologies like AI/ML and cloud platforms. The company values diversity and inclusion, ensuring that every team member contributes to impactful projects while enjoying a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Solution Architect – Generative AI Products & Delivery
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Ex or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Ex.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Ex.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Ex that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Data & AI Solution Architect – Generative AI Products & Delivery
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Ex.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ex and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Ex
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Ex uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.