Senior Level Application Architect (6099-1)

Senior Level Application Architect (6099-1) — AI Agentic, Integration & Architecture COE

Location: Hybrid (3 days onsite & 2 days remote) | MTA Headquarters

Experience Level: Tier 3 (7–9 Years)

Duration: 12 Months 

Preferred Certifications: Cloud certification and additional relevant certifications

Position Summary

Seeking a Senior 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 across Azure, AWS, and hybrid environments.

Key Responsibilities1. AI Agentic Architecture

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  Reference Architectures: Design architectures for agentic AI including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls.

  
  


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  Enterprise Integration: Define secure patterns for integrating agents with enterprise systems and APIs (e.g., Model Context Protocol [MCP], event-driven triggers).

  
  


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  Governance & Operations: Establish guardrails for agent identity, access control, auditability, observability, evaluation, and cost management.

  
  

2. Integration Architecture

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  Pattern Governance: Design and govern API-led, event-driven, and messaging integration patterns, including overall API lifecycle and gateway strategy.

  
  


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  System Integration: Define integration standards and patterns across legacy, SaaS, and cloud-native systems.

  
  

3. Standards & Architecture COE

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  Standards Maintenance: Develop, publish, and maintain application, integration, API, and AI architecture standards alongside reference architectures.

  
  


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  COE Enablement: Help establish and operate the COE, including charter definition, governance forums, design reviews, training, and operational playbooks.

  
  


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  Metrics & Adoption: Define COE and standards-adoption metrics in alignment with enterprise AI IT adoption tracking.

  
  

4. Modernization, Security & Collaboration

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  Cloud & Modernization: Guide application modernization and cloud design across Azure, AWS, and hybrid environments.

  
  


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  Security Alignment: Ensure designs align with NIST (including AI RMF), CIS, ISO 27001, and organizational security requirements.

  
  


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  Cross-Functional Partnering: Collaborate with product, engineering, DevOps, and Cybersecurity teams while communicating effectively with both business and technical stakeholders.

  
  

Required Qualifications

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  10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS.

  
  


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  Hands-on experience delivering AI/LLM or agentic solutions in an enterprise environment.

  
  


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  Proven experience authoring technical standards and operating an architecture COE or design review board.

  
  


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  Strong integration/API expertise combined with executive-level communication skills.

  
  

Technical CompetenciesExperience Requirements

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  IT Architecture: 6+ Years (Required)

  
  


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  Information Architecture: 6+ Years (Required)

  
  


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  Develop Complex Data Architectures: 6+ Years (Required)

  
  


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  Computer Systems Architecture: 4–6 Years