Jobs → Customer Support → Cloud Solutions Architect

About the Role We are seeking a Cloud Solutions Architect with strong expertise in AI Agentic Architecture, Enterprise Integration, and Cloud Architecture to join the Metropolitan Transportation Authority (MTA). The candidate will design AI-enabled solutions, define enterprise integration patterns, establish application architecture standards, and contribute to building an Architecture Center of Excellence (COE) across Azure, AWS, and hybrid environments. Key Responsibilities • Design multi-agent orchestration, tool calling, RAG, and human-in-the-loop architectures. • Define secure agent integration patterns using MCP, APIs, and event-driven triggers. • Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. • Design API-led, event-driven, and messaging integration patterns. • Define API lifecycle management and API gateway strategies. • Develop integration patterns for legacy, SaaS, and cloud-native systems. • Develop and maintain application, integration, API, and AI architecture standards. • Establish and operate Architecture COE governance, design reviews, training, and playbooks. • Define COE and standards-adoption metrics. • Guide application modernization across Azure, AWS, and hybrid environments. • Align architecture with NIST, AI RMF, CIS, ISO 27001, and MTA security requirements. • Collaborate with Product, Engineering, DevOps, and Cybersecurity teams. Requirements • 10+ years of application/enterprise architecture experience. • Strong cloud-native architecture experience with Azure and/or AWS. • Experience delivering enterprise AI/LLM or Agentic AI solutions. • Experience developing architecture standards and operating an Architecture COE or Review Board. • Strong expertise in Enterprise Integration and API Architecture. • Excellent executive-level communication and stakeholder management skills.