Artificial Intelligence 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. • 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.