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AI Solutions Architect
EXL
- +3
- +2
- London, England, United Kingdom
- +3
- +2
- London, England, United Kingdom
About
AI Solutions Architect role at EXL in London, United Kingdom (flexible hybrid work). Role
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. Qualifications
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 & Communication
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. Education & Experience:
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. Compensation & Benefits
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. London, United Kingdom – London region job; postings show multiple nearby listings.
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Nice-to-have skills
- NLTK
- Python
Work experience
- Solutions Architect
- Software Architect
- Agile Coach / Scrum Master
Languages
- English
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