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SoHo Dragon

Senior Cloud Solutions Architect – Agentic AI, Integration & Architecture

SoHo Dragon New York, New York, United States · $173K/yr

IT Services and IT Consulting · 201-500 employees

Yesterday
software-architect Principal (10+ yrs) Contractor United States
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About the role

The architect will design agent-based and AI-enabled solutions while defining integration patterns and architecture standards. They will also help establish and operate an Architecture Center of Excellence to ensure governance and adoption of best practices.

What they look for

Cloud Architecture Agentic AI Azure AWS API Integration Enterprise Architecture Event-driven Architecture RAG Multi-agent Orchestration Application Modernization NIST CIS ISO 27001 DevOps Cybersecurity Governance

Requirements

Candidates must have over 10 years of experience in application or enterprise architecture with cloud-native design expertise in Azure or AWS. Proven experience delivering AI/LLM or agentic solutions and operating an architecture review board is required.

Full description

Job Title: Senior Cloud Solutions Architect – Agentic AI, Integration & Architecture

Duration: 12 months(37.5 hrs per week)

Location: 2 Broadway, NYC 10004 (3 DAYS ONSITE & 2 DAYS REMOTE)

THIS POSITION WILL REQUIRE THE CONSULTANT TO WORK 3 DAYS ONSITE & 2 DAYS REMOTE.

Certification/Experience Preferred: Cloud certification and additional relevant certifications

 

Position Summary

A major public-sector transportation organization 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.

 

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 transport org 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

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