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 Role
As 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 & Architecture
Design comprehensive AI architectures incorporating LLMs, vector databases, and agentic frameworks
Establish patterns for effective AI integration with existing enterprise applications
Develop robust RAG implementations for knowledge-intensive business processes
Balance innovation with practical delivery of strategically agreed capabilities to ensure measurable business value
Technical Leadership in AI
Lead the evaluation and selection of appropriate AI models, tools, and frameworks
Design end-to-end AI workflows incorporating prompt engineering, context handling, and tool use
Guide the responsible implementation of generative AI capabilities in business-critical systems, project SDLC and
system workflows
Establish best practices for AI development, testing, and deployment
Advanced AI Implementation
Develop LLM-powered applications with sophisticated reasoning capabilities
Create RAG systems with effective vector retrieval, context management, and response generation
Build agentic AI workflows that can perform multi-step tasks with appropriate tool use
Implement AI-powered document intelligence and information extraction systems
Design hybrid AI architectures combining symbolic and neural approaches where appropriate
Develop generative AI solutions for intuitive UI creation and personalized user experiences
AI Technical Expertise
Implement fine-tuning and model adaptation strategies for specialized domains
Develop robust evaluation frameworks for AI system performance and reliability
Create effective prompt engineering strategies for consistent and controlled AI outputs
Design and implement AI guardrails and safety mechanisms for enterprise applications
Team Leadership
Mentor development teams in advanced AI implementation techniques
Collaborate with data scientists, MLOps engineers, and business analysts
Evangelize AI best practices and responsible AI principles across the organization
Provide technical oversight for internal and vendor-provided AI solutions
