Generative AI Solutions ArchitectJob Description
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI")pany that offers services and solutions to reinvent client business models, drive better oues 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 headquartered in New York and have more than 59,000 employees spanning six continents. For more information, visit exlservice.
Role Title: Generative AI Solutions Architect
BU/Segment: Digital / GenAI CoE
Location: London, United Kingdom (Flexible hybrid working)
Employment Type: Permanent
Summary of the role:
We are looking for a visionary and technically aplished Generative AI Solutions Architect to lead client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI .
This is a high-impact, senior consulting role thatbines deep technical expertise, solution architecture, and strategic client advisory. You will work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities, design and architect robust AI solutions, and leadplex implementations that deliver measurable oues. In parallel, 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 talented, global team, while influencing the adoption of AI strategy across major enterprise clients in industries such as banking, insurance, utilities, and travel. You'll be part of a supportive, collaborative, and forward-thinking environment where innovation is encouraged and your contributions are visible.
This is a chance to play a key role in defining the future of AI application and make a meaningful impact in a fast-moving, high-growth space.
As part of your duties, you will be responsible for:
Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understandplex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale,plex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions. Define and track key success metrics (, model performance, business impact, time-to-value) to ensure alignment with client goals. Change Management & AI Adoption: Support change management efforts to drive GenAI adoption within client environments, including training, stakeholder enablement, and operational integration. Technical Mentorship: Mentor and guide technical teams (data scientists, engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectivelymunicatingplex technical concepts and project progress. Innovation & IP Development: Contribute to internal GenAI innovation by building accelerators, reusable assets, and thought leadership materials (, whitepapers, prototypes, demos, blogs). Internal Collaboration: Evangelise Generative AI capabilities internally by collaborating with business development and delivery teams to support proposals, PoCs, and capability development. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Practice Development: Support the expansion of the GenAI practice by defining delivery playbooks, reusable assets, talent strategies, and mentoring early-stage architects and consultants. Proposal Support: Act as a solution architect on strategic pursuits, helping develop high-quality proposals, estimates, and delivery approaches forplex GenAI and Agentic AI opportunities.
Qualifications and experience we consider to be essential for the role:
Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (, Hugging Face Transformers, spaCy, NLTK). LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (, GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (, LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (, AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (, Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such asplex task dposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies forplex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, andernance ofplex AI models and applications.
Leadership &munication:
Proven ability to lead and motivate diverse, global teams Excellentmunication skills, capable of explainingplex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments
Qualifications:
Education: Bachelor's degree inputer Science, AI, Machine Learning, or a related quantitative field. Master's or strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably includingplex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client-facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus
Skills and Personal attributes we would like to have:
A strategic leader who can bridge cutting-edge Generative and Agentic AI capabilities with real-world enterprise impact Ability to translate research and innovation into scalable, ethical, and production-grade business applications Strategic consulting acumen and strong client engagement instincts Passion for innovation and continuous learning in the evolving AI landscape
As part of a leading global data and AIpany, you can look forward to:
Apetitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, ie 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 aremitted 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 ismitted to diversity. Ourpany 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. Job ID 300001008157415
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