Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the future of AI agentic and integration architecture within a reputable consulting firm, working with cutting-edge technologies across Azure, AWS, and hybrid environments. If you possess deep expertise in AI, integration patterns, and establishing architectural standards, and thrive in a collaborative setting that values innovation and professional development, this position is an excellent next step in your career. Apply today to contribute to impactful projects and grow your skills in a dynamic field.
Quick Overview
Job Description
- Contract: 37.5 work week
- Location: New York, NY (Hybrid 3 Days Onsite, 2 Days Remote)
- In Person Interview Required
- Certification/Experience Preferred: Cloud certification and additional relevant certification
Position Summary
The Client is 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 in Azure, AWS, and hybrid environments.
Key Responsibilities
1. AI Agentic Architecture
- 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 Client security requirements.
- Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders.
- 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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