AI architect

Seneca Resources; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Seneca Resources is seeking an accomplished Enterprise/solutions architect to lead and shape our architecture strategy. You will guide cross-functional teams in designing cloud-native, secure, and scalable enterprise applications and AI-enabled solutions.

You will establish architecture standards, reference architectures, and governance practices, while collaborating with stakeholders to ensure alignment with business goals and risk management.

Qualifications

• 6+ yearsIT Architecture experience with enterprise scope.
• 6+ yearsInformation Architecture experience including data-centric designs.
• 10+ years Enterprise/Application Architecture across complex environments.
• Experience delivering Agentic AI/LLM solutions in enterprise settings.
• Strong governance, standards development, and architecture review experience.

Responsibilities

• Lead complex architecture initiatives across multiple engineering teams.
• Define and publish enterprise architecture standards and reference architectures.
• Oversee architecture governance functions and COE activities.
• Provide executive-level guidance on cloud-native and hybrid integration patterns.

Skills

IT Architecture

Information Architecture

Data Architecture

Computer Systems Architecture

Enterprise Architecture

Agentic AI / LLM Solutions

Integration & API Architecture

Architecture COE / Governance

Cloud Architecture

Hybrid Integration Patterns

Security Standards (NIST CIS ISO27001)

Tools

Azure

AWS

Job description

• 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