Quick overview
Job description
- The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture,
- enterprise integration, and architecture standards. This hands-on role designs agent-based and
- AI-enabled solutions, defines integration patterns, publishes application architecture standards,
- and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure,
- AWS, and hybrid environments.
- Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls.
- Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers).
- Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost.
- Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy.
- Define integration patterns for legacy, SaaS, and cloud-native systems.
- Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures.
- Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks.
- Define COE and standards-adoption metrics in coordination with AI IT adoption tracking.
- Guide application modernization and cloud design on Azure, AWS, and hybrid environments.
- Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements.
- Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders.
Required
- 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS.
- Experience delivering AI/LLM or agentic solutions in an enterprise.
- Experience authoring standards and operating an architecture COE or review board.
- Strong integration/API expertise and executive-level communication
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