Enterprise Application Architect (Agentic AI, Cloud & Integration)

Seneca Resources; New York (NY); Hybrid; USD 103,000 - 117,000; Full time

Job summary

Seneca Resources in New York, NY, is seeking a Senior Enterprise Application Architect specializing in Agentic AI, Generative AI, and cloud integration. This contract role focuses on designing scalable AI-enabled enterprise applications and secure, reusable integration patterns across Azure, AWS, and hybrid environments.

The ideal candidate has 10+ years in enterprise architecture, hands-on AI/LLM delivery, and strong governance experience.

Qualifications

• 10+ years in enterprise application architecture or related roles.
• Strong experience with Azure/AWS or hybrid cloud environments.
• Proven delivery of enterprise AI/Agentic AI/LLM solutions.
• Hands-on with multi-agent orchestration, RAG, and AI-to-enterprise integration.
• Experience leading architecture reviews and COE governance.

Responsibilities

• Design enterprise reference architectures for Agentic AI and LLM-powered apps.
• Architect multi-agent orchestration, tool calling, and coordinated AI workflows.
• Implement RAG solutions linking enterprise data with AI apps.
• Establish secure integration patterns between AI agents, APIs and external services.
• Provide governance through architecture reviews, standards, and COE activities.

Skills

Enterprise Architecture

AI/LLM

Agentic AI

Cloud Architecture

API Integration

Security & Compliance

Governance

Stakeholder Management

Tools

Microsoft Azure

AWS

Hybrid Cloud

REST APIs

API Gateways

RAG

Job description

Position Title: Senior Enterprise Application Architect – Agentic AI, Cloud & Integration

Location: New York, NY (Hybrid – 3 days onsite, 2 days remote)

Clearance Requirements: Not specified

Position Status: Contract (12+ months, with likely extension)

Pay Rate: $75–$85/hour (W2), depending on experience

Position Description

Seneca Resources is seeking a Senior Enterprise Application Architect specializing in Agentic AI, Generative AI, Cloud Architecture, and Enterprise Integration for a long-term contract opportunity in New York, NY.

This senior-level, hands-on architecture role will focus on designing AI-enabled enterprise applications, implementing scalable cloud-native solutions, establishing reusable integration patterns, and supporting an enterprise Architecture Center of Excellence (COE).

The ideal candidate brings extensive experience delivering enterprise AI and Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG), multi-agent orchestration, secure API integration, and cloud architecture across Microsoft Azure, AWS, and hybrid environments.

This role also requires strong architectural governance experience, including developing enterprise standards, leading architecture reviews, establishing reference architectures, and influencing technology strategy across engineering and business teams.

Work Schedule: 37.5 hours per week. The engagement requires four weeks of unpaid vacation.

Key Responsibilities

Agentic AI & Generative AI Architecture

• Design enterprise reference architectures for Agentic AI, AI agents, Generative AI, and LLM-powered applications.
• Architect multi-agent orchestration, tool calling, task delegation, and coordinated AI workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions that connect enterprise data and knowledge sources with AI applications.
• Establish secure integration patterns between AI agents, enterprise APIs, internal applications, and external services.
• Evaluate Model Context Protocol (MCP), event-driven triggers, and agent-to-system communication patterns.
• Implement architectural guardrails for AI security, identity, access management, auditability, observability, evaluation, cost optimization, and human-in-the-loop oversight.

Enterprise Integration & API Architecture

• Design enterprise integration architectures using REST APIs, API gateways, messaging systems, API-led connectivity, and event-driven patterns.
• Establish reusable integration standards for legacy applications, SaaS platforms, cloud-native services, and enterprise systems.
• Define API lifecycle management practices covering design, versioning, security, governance, and performance.
• Guide engineering teams in implementing secure, scalable, and maintainable integration solutions across Azure, AWS, and hybrid environments.

Architecture Center of Excellence (COE) & Governance

• Establish and support an enterprise Architecture Center of Excellence (COE).
• Develop and maintain enterprise application architecture standards, integration guidelines, AI reference architectures, and technical playbooks.
• Lead architecture review boards, design reviews, and technical governance forums.
• Establish governance processes, reusable design patterns, training practices, and architecture standards adoption metrics.
• Mentor application developers, solution architects, and engineering teams while promoting consistency and reuse across the organization.

Cloud Architecture & Application Modernization

• Design secure, scalable, cloud-native enterprise application architectures across Microsoft Azure, AWS, and hybrid environments.
• Guide legacy application modernization and cloud transformation initiatives.
• Evaluate architectural approaches and technologies based on scalability, reliability, interoperability, security, and maintainability.
• Partner with engineering and DevOps teams to align architecture standards with development, deployment, and operational practices.

Security, Compliance & Technical Leadership

• Apply secure-by-design principles across enterprise applications, AI systems, APIs, and cloud integrations.
• Align architecture solutions with applicable cybersecurity policies and frameworks, including NIST, NIST AI Risk Management Framework (AI RMF), CIS, and ISO 27001.
• Collaborate with cybersecurity teams to identify architectural risks and define mitigation strategies.
• Partner with product management, engineering, DevOps, cybersecurity, and enterprise architecture stakeholders.
• Present architecture strategies, technical trade-offs, reference designs, and recommendations to senior technology leaders and business stakeholders.

Required Skills/Education

• 10+ years of experience in enterprise application architecture, solution architecture, enterprise architecture, or related technical roles.
• Strong experience designing and delivering enterprise application architectures using Microsoft Azure, AWS, or hybrid cloud environments.
• Demonstrated experience delivering enterprise AI, Agentic AI, Generative AI, or LLM-based solutions.
• Hands-on architectural knowledge of multi-agent orchestration, RAG, AI tool calling, and AI-to-enterprise integration patterns.
• Strong expertise in enterprise integration architecture, REST APIs, API lifecycle management, API gateways, messaging, and event-driven architecture.
• Experience developing enterprise architecture standards, reusable design patterns, technical guidelines, and reference architectures.
• Demonstrated experience establishing or supporting an Architecture Center of Excellence (COE), architecture review board, or enterprise architecture governance function.
• Strong understanding of information architecture, complex data architecture, cloud-native application design, and application modernization.
• Knowledge of AI security, identity and access management, audit logging, observability, and responsible AI controls.
• Familiarity with security and compliance frameworks such as NIST, NIST AI RMF, CIS, and ISO 27001.
• Ability to lead complex architecture initiatives, influence technical decisions, and provide guidance across multiple engineering teams.
• Excellent communication, stakeholder management, analytical problem-solving, and architectural documentation skills.

Critical Technical Experience

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

Preferred Qualifications

• Microsoft Azure, AWS, enterprise architecture, AI, integration, or cybersecurity certifications.
• Experience building reusable AI architecture patterns and secure agentic AI frameworks.
• Familiarity with Model Context Protocol (MCP), human-in-the-loop architectures, and multi-agent systems.
• Experience defining architecture adoption metrics and supporting enterprise-wide AI initiatives.
• Background supporting large, complex, highly regulated, or public-sector organizations.
• Experience with modernization programs spanning legacy applications, SaaS platforms, cloud-native services, and hybrid environments.

About Seneca Resources

At Seneca Resources, we are more than just a staffing and consulting firm; we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.

When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path.

Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for them every step of the way.

Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.