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.
• Strong understanding of enterprise architecture, scalability, security, and operational excellence.

Preferred Skills

• Experience with Azure OpenAI, OpenAI, Anthropic, Gemini, or similar AI platforms.
• Exposure to vector databases, knowledge retrieval, and AI observability platforms.
• Banking, Financial Services, or Treasury domain experience.
• Experience establishing AI engineering standards across product teams.

Candidate Profile

• Hands-on technical leader with a strong engineering-first mindset.
• Comfortable working within an established product roadmap and architecture.
• Able to influence, mentor, and guide engineering teams without a consulting-led approach.
• Strong communication, collaboration, and problem-solving skills.
• Passionate about building production-grade AI solutions at enterprise scale.