Job Title: Engagement Architect (Agentic AI / RAG)
Location: New York / New Jersey (Onsite)
Job Type: Full-Time
Experience Required: 12+ Years Job Summary:
We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture. The ideal candidate will lead the architecture, design, governance, and implementation of enterprise-scale AI solutions across AWS and GCP while collaborating with technical stakeholders to deliver secure, scalable, and production-ready AI platforms. Required Skills:
12+ years of IT experience with enterprise architecture.
Strong expertise in Agentic AI architecture and RAG (Retrieval-Augmented Generation/Reasoning).
Experience with multi-agent orchestration and agent harness design.
Hands-on experience in spec-driven development and design-to-code conversion.
Strong knowledge of prompt engineering, evaluation engineering, and reasoning frameworks.
Experience designing retrieval pipelines, semantic search, and knowledge graph integration.
Expertise in AWS and Google Cloud Platform (GCP).
Strong understanding of enterprise security architecture, Identity-as-Code, and Policy-as-Code.
Experience with design-time and runtime AI governance.
Knowledge of React-pattern reasoning loops.
Excellent architecture documentation and stakeholder communication skills.
Responsibilities:
Lead end-to-end architecture for enterprise Agentic AI solutions.
Design and build supervisor, intake, and data-source-level AI agents.
Implement multi-agent orchestration and reasoning workflows.
Design, optimize, and tune Retrieval-Augmented Generation (RAG) pipelines.
Lead prompt engineering and AI model evaluation strategies.
Ensure secure, scalable AI architecture aligned with enterprise standards.
Oversee design-to-code conversion, implementation reviews, and testing.
Create architecture documentation, diagrams, and technical standards.
Conduct architecture review sessions and collaborate with engineering teams and client stakeholders.
Drive governance, security, and best practices across AI implementations.
Numbers & Facts
Location
Jersey City
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Skills
Amazon Web Services (AWS)unmatched
Architectural Designunmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Best Practicesunmatched
Build Managementunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Documentationunmatched
Enterprise Architectureunmatched
Enterprise Protectionunmatched
GCP (Good Clinical Practices)unmatched
Graph Searchunmatched
Information Technology & Information Systemsunmatched
Security Architectureunmatched
Semantic Searchunmatched
Technical Deliveryunmatched
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