AI Enterprise ArchitectIT Engagements • United States
AI Enterprise Architect
IT Engagements • United States
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[job_card.job_description]TOGAF or similar EA frameworks MACH Architecture : Microservices, API-first, Cloud-native, Headless Composable Commerce : Packaged Business Capabilities (PBCs) Integration Patterns : API Gateway, service mesh, event-driven Data Architecture : Data mesh, data fabric, governance 10+ years hands-on development experience Proficiency in Python, Java, JavaScript (recent hands-on required) Spring Boot, FastAPI, React / Next.js Microservices, containerization, CI / CD AI architecture patterns : LLM integration, RAG systems AWS Bedrock, SageMaker, OpenAI APIs Cursor, Claude, GitHub Copilot usage experience AI governance and responsible AI frameworks Understanding of emerging AI trends Commerce platforms : Salesforce CC, commerce tools Headless commerce architectures AWS Well-Architected Framework Cost optimization for AI workloads 10+ years enterprise / solution architecture Software engineering background with code review ability Enterprise-scale implementations eCommerce architecture experience preferred Stakeholder management across business and technical teams
Hi,
Greetings from IT Engagements IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.
Title : AI Enterprise Architect
Location : Englewood Cliffs, NJ - fully onsite
Duration : Long Term
Summary :
We are seeking an Enterprise Architect with hands-on software engineering background and AI knowledge to define our enterprise-wide AI architecture strategy. This role is 80% enterprise architecture focused on designing scalable, composable systems that integrate AI capabilities across our technology landscape.
Responsibilities :
- Define enterprise AI architecture blueprint, standards, and governance frameworks
- Design composable commerce architectures with integrated AI capabilities
- Establish MACH-compliant reference architectures
- Guide build vs. buy vs. partner decisions for AI platforms
- Lead architecture review board for AI initiatives
- Create integration patterns for AI services with existing enterprise systems
- Develop data architecture supporting AI readiness
Required Skills :
Software Engineering Background (Required)
AI Knowledge & Integration
eCommerce & Cloud
Experience Requirements
Thanks and Regards
Divya kumari
Technical Recruiter
divya @itengagements.com
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