We are seeking a highly experienced Lead AI Platform Engineer to drive the engineering and implementation of AI capabilities within a Finance AI platform. This is a hands on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud native engineering expertise with practical experience building and integrating GenAI and Agentic AI solutions into enterprise platforms.

• Lead the implementation of AI-enabled applications and platform capabilities.
  
• Establish reusable patterns, frameworks, and best practices for AI engineering.
  
• Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments.
  
• Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions.
  
• Define standards for AI observability, governance, security, and performance.
  
• Mentor engineers and provide technical leadership across AI development initiatives.
  
• Contribute hands on to solution design, development, code reviews, and production deployment.
  

• 12+ years of software engineering experience, with strong expertise in Java and/or Python.
  
• Proven experience building cloud native applications on Azure, AWS, or GCP.
  
• Strong knowledge of Kubernetes, Microservices, APIs, Event Driven Architecture, and DevOps practices.
  
• Hands on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions.
  
• Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.