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- Tasks: Lead innovative AI projects and design cutting-edge solutions for major clients.
- Company: Join EXL, a leader in Generative AI with a collaborative culture.
- Benefits: Enjoy competitive salary, bonuses, private healthcare, and flexible hybrid work.
- Why this job: Shape the future of AI while working with global teams on impactful projects.
- Qualifications: Proficiency in Python and experience with AI frameworks required.
- Other info: Great opportunities for professional development and a supportive, diverse environment.
The predicted salary is between 72000 - 108000 £ per year.
We are looking for a visionary and technically accomplished Generative AI Solutions Architect to lead client-facing initiatives in Generative and Agentic AI. This is a high-impact, senior consulting role combining deep technical expertise, solution architecture, and strategic client advisory. You will work with cross-functional teams to identify opportunities, design and architect robust AI solutions, and lead complex implementations that deliver measurable outcomes. You will help shape EXL’s strategy and market presence as a leader in Generative and Agentic AI innovation.
This role offers the opportunity to work on pioneering AI projects with a global team, influencing AI strategy across major enterprise clients in industries such as banking, insurance, utilities, and travel. You will be part of a collaborative environment where innovation is encouraged and your contributions are valued.
Responsibilities- Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify GenAI and Agentic AI opportunities, and define project scope.
- Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions to identify and prioritise GenAI use cases and roadmap development.
- Technical Leadership & Architecture: Design, architect, and oversee development and deployment of scalable GenAI and Agentic AI systems (including multi-agent workflows) for client and internal use.
- Projects & Engagement Leadership: Lead large-scale GenAI/Agentic AI projects from conception to deployment, manage cross-functional teams, and ensure timely delivery with clear success metrics (model performance, business impact, time-to-value).
- Change Management & AI Adoption: Support change management to drive GenAI adoption within client environments, including training and stakeholder enablement.
- Technical Mentorship: Mentor technical teams in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic systems.
- Stakeholder Management: Build and maintain relationships with internal and external stakeholders, communicating complex concepts clearly.
- Innovation & IP Development: Contribute to internal GenAI innovation through accelerators, reusable assets, and thought leadership (whitepapers, prototypes, demos, blogs).
- Internal Collaboration: Evangelise GenAI capabilities with business development and delivery teams to support proposals, PoCs, and capability development.
- Quality & Best Practices: Ensure adherence to software engineering principles, Agile methodologies, and responsible AI practices.
- Staying Current: Maintain deep expertise in GenAI, LLMs, and Agentic AI trends, tools, and technologies; contribute to practice development and delivery playbooks.
- Proposal Support: Act as a solution architect in strategic pursuits, helping develop proposals, estimates, and delivery approaches for GenAI opportunities.
- Programming & Libraries: Deep proficiency in Python and experience with AI/ML/NLP libraries (e.g., transformers, spaCy, NLTK).
- LLM Expertise: Experience developing applications with state-of-the-art LLMs (e.g., GPT, Llama, Mistral, Claude), including prompt engineering and fine-tuning.
- GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI concepts (AutoGen, CrewAI, LangGraph, multi-agent collaboration).
- AI Architecture: Deep understanding of AI/ML system architecture, including microservices, event-driven patterns, RAG, Graph RAG, and multi-agent systems.
- Vector Databases & Embeddings: Experience with embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS).
- Advanced AI Concepts: Complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for AI systems.
- Software Engineering: Strong software engineering principles for scalable, maintainable AI products.
- Cloud Platforms & MLOps: Deployment experience on major cloud platforms (AWS, Azure, GCP) and robust MLOps/LLMOps pipelines.
- Leadership: Proven ability to lead diverse, global teams; strong communication skills to explain AI concepts to stakeholders.
- Project Management: Strong program management experience in Agile environments.
- Bachelor’s degree in CS/AI/ML or related field; Master’s or PhD preferred. Minimum 10 years in AI/ML/Data Science with at least 5 years in leadership roles; experience in solution architecture and client-facing delivery.
- Experience & Delivery: Track record of architecting and deploying large-scale AI projects, preferably GenAI/Agentic AI in enterprise settings; consulting or tech-provider background is a plus; global collaboration experience.
- A competitive salary with a generous bonus, private healthcare, and life assurance; income protection insurance; and a pension plan.
- EXL provides financial well-being solutions and a Cycle Scheme for cycling enthusiasts.
- Professional and personal development opportunities, learning initiatives, online courses, seminars, and workshops.
- EXL is an Equal Opportunity Employer and supports diversity; does not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, or disability status.
- Employee stock purchase plan available.
- Flexible hybrid working model.
Eligibility: To be considered for this role, you must already be eligible to work in the United Kingdom.
AI Solutions Architect in London employer: exl
Contact Detail:
exl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to Generative and Agentic AI. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll likely need to communicate with non-technical stakeholders. We want you to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get clicking and let’s make it happen!
We think you need these skills to ace AI Solutions Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Solutions Architect role. Highlight your experience with Generative AI and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your proficiency in Python, AI/ML libraries, and any hands-on experience with LLMs. We love seeing candidates who can demonstrate their knowledge in a clear and concise way.
Highlight Client Engagement Experience: Since this role involves a lot of client interaction, make sure to emphasise your experience in engaging with stakeholders. Share examples of how you've tackled complex business challenges and led successful workshops or strategy sessions.
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 Stuff
Make sure you brush up on your knowledge of Generative AI and Agentic AI frameworks. Be ready to discuss specific projects you've worked on, especially those involving LLMs and multi-agent systems. This will show that you not only understand the theory but also have practical experience.
✨Engage with Stakeholders
Since this role involves client advisory, practice how you would engage with senior stakeholders. Prepare to articulate complex AI concepts in a way that's easy for them to grasp. Think about how you can demonstrate your ability to lead workshops and facilitate discussions.
✨Showcase Your Leadership Skills
Be prepared to share examples of how you've led cross-functional teams in the past. Highlight your project management experience, especially in Agile environments, and how you've driven successful AI implementations. This will help convey your capability to manage large-scale projects.
✨Stay Current and Innovative
Demonstrate your passion for AI by discussing recent trends or innovations in the field. Bring up any personal projects or contributions to the AI community, like whitepapers or prototypes. This shows you're not just knowledgeable but also actively engaged in the AI landscape.
