AI Architect

We are seeking an experienced AI Technical Lead to drive the implementation of advanced AI capabilities supporting our enterprise transformation programs. The ideal candidate will have deep expertise in modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. This role will focus on leveraging cutting-edge AI frameworks to deliver business value through intelligent automation, enhanced user experiences, and optimized workflows in our financial services applications.About the RoleAs an AI Technical Lead, you will be responsible for designing, implementing, and scaling AI solutions across our enterprise systems. You will work at the intersection of emerging AI technologies and practical business applications, guiding cross-functional teams in the adoption of responsible AI practices while ensuring technical excellence and innovation.AI Strategy & ArchitectureDesign comprehensive AI architectures incorporating LLMs, vector databases, and agentic frameworksEstablish patterns for effective AI integration with existing enterprise applicationsDevelop robust RAG implementations for knowledge-intensive business processesBalance innovation with practical delivery of strategically agreed capabilities to ensure measurable business valueTechnical Leadership in AILead the evaluation and selection of appropriate AI models, tools, and frameworksDesign end-to-end AI workflows incorporating prompt engineering, context handling, and tool useGuide the responsible implementation of generative AI capabilities in business-critical systems, project SDLC andsystem workflowsEstablish best practices for AI development, testing, and deploymentAdvanced AI ImplementationDevelop LLM-powered applications with sophisticated reasoning capabilitiesCreate RAG systems with effective vector retrieval, context management, and response generationBuild agentic AI workflows that can perform multi-step tasks with appropriate tool useImplement AI-powered document intelligence and information extraction systemsDesign hybrid AI architectures combining symbolic and neural approaches where appropriateDevelop generative AI solutions for intuitive UI creation and personalized user experiencesAI Technical ExpertiseImplement fine-tuning and model adaptation strategies for specialized domainsDevelop robust evaluation frameworks for AI system performance and reliabilityCreate effective prompt engineering strategies for consistent and controlled AI outputsDesign and implement AI guardrails and safety mechanisms for enterprise applicationsTeam LeadershipMentor development teams in advanced AI implementation techniquesCollaborate with data scientists, MLOps engineers, and business analystsEvangelize AI best practices and responsible AI principles across the organizationProvide technical oversight for internal and vendor-provided AI solutionsDesired Skills and Experience5+ years of hands-on experience with ML/AI technologiesDemonstrated experience implementing production LLM applicationsProven ability to design and develop RAG systems with effective vector retrievalExperience designing agentic AI workflows with tool-using capabilitiesWorking knowledge of prompt engineering techniques and best practicesHands-on experience with LLM frameworks (LangChain, LangGraph, Llama Index, Semantic Kernel, etc.)Experience in full stack development is a plus, should be able to work with UI engineers and API leads to build UIs including conversation AI usecasesUnderstanding of model fine-tuning, quantization, and optimization approaches