Lead AI Engineer

Lead AI Platform Engineer

Experience: 12 Years

Role Overview

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.

Key Responsibilities

• 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.
  

Required Skills

• 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.