Senior Application Architect

Title: Sr. Application AI Architect

Location: NYC NY

On-site/Remote/Hybrid: Hybrid (3 days onsite/2 days remote)

Duration: 12+ Months

Interview Process: Web or In person interview

Job Description:

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.

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.

2. Integration Architecture

• 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.

3. Standards & Architecture COE

• 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.

4. Modernization, Security & Collaboration

• 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.

Qualifications

• 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