AI Architect

This role focuses on embedding agentic AI into delivery models and the end-to-end SDLC, while defining governance, standards, and scalable AI frameworks in a highly regulated environment. The architect will act as a strategic authority and hands-on leader, ensuring consistent, secure, and high-quality AI implementations across client-facing and internal platforms. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure. Financial services domain experience Experience building internal developer platforms (IDPs) Cloud certifications (AWS/Azure/GCP) Exposure to spec-driven AI development and AI playbooks 12+ years in software engineering/architecture; 5+ years in AI/ML Strong hands-on experience with GenAI, LLMs, and agentic AI systems Expertise in RAG, embeddings, prompt engineering, and evaluation frameworks Experience with distributed systems, APIs, microservices, and Kubernetes Familiarity with MLOps/LLMOps pipelines and cloud AI platforms Experience working in regulated environments (financial services preferred) Strong understanding of AI governance, model risk, and data privacy

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