AI Solutions Architect

OverviewAI Solutions Architect role at EXL in London, United Kingdom (flexible hybrid work).You could be just the right applicant for this job Read all associated information and make sure to apply.RoleWe 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.ResponsibilitiesClient 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.QualificationsProgramming & 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 & CommunicationLeadership: 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 & BenefitsA 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. xpwpeyx London, United Kingdom – London region job; postings show multiple nearby listings.