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.
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