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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Application Architect - AI Agentic, Integration & Architecture COE - SAA 26 - **Company:** Compu-Vision - Northeast - **Location:** Albany, NY, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Application Integration Architecture, Architectural Patterns, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Cyber Security, Data Architecture, Software Design Patterns, DevOps, Identity and Access Management, Interoperability, Software Engineering, Enterprise Software Applications, Spring Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, HybridCloud, Agentic-AI, Event Driven Architecture, Enterprise Integration, Api Gateway, Model Context Protocol, Api Management, Legacy Systems - **Published:** October 16, 2026 - **Apply:** https://www.careerjet.com/jobad/usa26d39ae743ec47f5d0cdd18964683ba ## About the Role The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise., * 10+ years of experience in application architecture or enterprise architecture. * Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. * Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. * Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. * Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. * Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. * Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. * Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. * Strong knowledge of security architecture, risk management, and enterprise governance frameworks. * Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience * Complex Data Architecture: 6+ years of experience. * Information Architecture: 6+ years of experience. * IT Architecture: 6+ years of experience. * Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. * AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. * Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. * Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. * Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications * Microsoft Azure or AWS cloud certification. * Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture. ## Description We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE)., 1. AI Agentic Architecture * Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. * Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. * Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. * Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. * Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture * Design and govern API-led, event-driven, and messaging-based integration architectures. * Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. * Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. * Ensure integration architectures support interoperability, scalability, security, and maintainability. * Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) * Develop, publish, and maintain application, integration, API, and AI architecture standards. * Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. * Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. * Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. * Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. * Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration * Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. * Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. * Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. * Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. * Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. * Provide technical leadership throughout solution design, architecture reviews, and implementation activities.