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AI architect

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Onsite

AI architect

Seneca Resources

AI architect

Skills

AIAWSAzure

11 days ago

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Important information


Contract type:

Freelance / Contract

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

17 October 2026

What they need


Required Qualifications

  • 10+ years of experience in application architecture, enterprise architecture, solution architecture, or closely related technical roles.
  • Extensive experience designing enterprise applications and cloud-native solutions using Azure and/or AWS.
  • Demonstrated experience delivering AI, LLM-based, or Agentic AI solutions in enterprise environments.
  • Strong understanding of multi-agent orchestration, RAG architectures, tool calling, and AI integration patterns.
  • Experience designing secure integration patterns for AI agents and enterprise applications.
  • Advanced knowledge of enterprise integration architecture, API design, API lifecycle management, messaging, and event-driven systems.
  • Experience defining and publishing enterprise application architecture standards, integration standards, and reference architectures.
  • Experience establishing, supporting, or operating an Architecture Center of Excellence, architecture review board, or enterprise architecture governance function.
  • Strong understanding of cloud architecture, application modernization, and hybrid integration patterns.
  • Familiarity with enterprise security standards and frameworks, including NIST, CIS, and ISO 27001.
  • Demonstrated ability to lead complex architecture initiatives and provide technical guidance across multiple engineering teams.
  • Excellent written and verbal communication skills, including the ability to present complex technical concepts to executive-level stakeholders.
  • Strong analytical, problem-solving, architectural documentation, and stakeholder management capabilities.

Critical Technical Experience

The following experience is particularly important:

  • IT Architecture: 6+ years
  • Information Architecture: 6+ years
  • Developing Complex Data Architectures: 6+ years
  • Computer Systems Architecture: 4–6 years preferred
  • Enterprise Application Architecture: 10+ years overall
  • Agentic AI / LLM Solutions: Demonstrated enterprise delivery experience
  • Integration & API Architecture: Strong hands-on design and governance experience
  • Architecture COE / Governance: Demonstrated standards development and architecture review experience

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