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.