21 hours ago
London, United KingdomSenior
Responsibilities
- 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 RAG, multi-agent systems, intelligent document processing, knowledge management, and enterprise workflow automation solutions.
- Define architecture patterns, governance standards, security controls, and enterprise AI best practices.
- Apply GenAI to data transformation, metadata management, customer service, risk, compliance, operations, and process automation.
- Collaborate with engineering, data, cloud, and business teams to deliver and operationalize solutions.
- Drive architecture assurance across reviews, testing, deployment, monitoring, and optimization.
- Facilitate client workshops and present technical solutions to executive and technical stakeholders.
Requirements
- At least 7 years of experience in technology, architecture, or engineering roles.
- At least 3 years of hands-on experience delivering Generative AI solutions in production environments.
- Demonstrated success designing and launching multiple enterprise GenAI implementations beyond proof of concept.
- 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.
- Experience applying DevOps, MLOps, and LLMOps practices to enterprise AI programs.
- Strong cloud architecture experience across Azure, AWS, or GCP.
- Experience with model deployment, monitoring, observability, governance, versioning, and operational support.
- Experience engaging clients, senior business leaders, and executive stakeholders.
- Understanding of enterprise security, risk management, and responsible AI principles.
- Banking, financial-services, or other regulated-industry experience is preferred.
- Experience with risk, compliance, fraud, customer operations, lending, regulatory reporting, data architecture, data modernization, data platforms, lakehouses, or large-scale cloud transformation is preferred.
- Exposure to Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir is preferred.
- Strong consulting, problem-solving, communication, presentation, commercial-awareness, and client-focused skills.
Benefits
- Competitive salary and generous bonus.
- Private healthcare, critical illness and life assurance at four times annual salary, income protection insurance, and a pension.
- Financial well-being benefits, including cashback cards and retailer discounts, plus a Cycle Scheme.
- Professional and personal development opportunities, online courses, seminars, workshops, and learning initiatives.
- Employee Stock Purchase Plan eligibility.
- Flexible hybrid working arrangement requiring two days per week in the Halifax office.
- Permanent employment in Halifax, United Kingdom.
Tech Stack
Categories
Solutions Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).