AI Platform Architect - AI Platform & Infrastructure

Job Summary The AI Platform Architect will design and govern enterprise-scale AI and GenAI platforms, ensuring solutions are secure, scalable, compliant, and production-ready. This role requires hands-on cloud architecture experience combined with deep knowledge of AI infrastructure, MLOps, and LLMOps. The architect will define platform standards, collaborate with engineering teams, support model lifecycle management, and contribute to the long-term AI platform roadmap. This position also ensures that AI solutions align with security, identity, risk, and compliance requirements across cloud environments. Key Responsibilities Design end-to-end AI platform architectures, including GenAI and agentic AI systems. Define standards for model deployment, monitoring, versioning, and lifecycle management. Architect secure, compliant, cloud-native AI platforms across Azure, AWS, or GCP. Partner with engineering teams on Python-based services, APIs, and orchestration layers. Establish LLMOps and MLOps patterns for enterprise AI usage. Ensure alignment with organizational security, risk, identity, and compliance requirements. Evaluate and select AI frameworks, tools, and cloud services that support enterprise needs. Contribute to long-term AI platform strategy, roadmap development, and scalability planning. Required Qualifications 8+ years of experience in platform or cloud architecture roles. Strong hands-on experience with Python-based backend systems. Deep experience with cloud-native architectures, including containers, APIs, and Infrastructure-as-Code. Experience supporting AI/ML platforms in production environments. Familiarity with governance practices in regulated industries. Preferred Qualifications Experience architecting GenAI, RAG, or agentic AI platforms. Prior ownership of enterprise AI governance frameworks. Background working with AI platforms in financial services.