Senior AI Architecture Leader for Enterprise GenAI

Ethereum Technologies; Piscataway Township (NJ); On-site; USD 105,000 - 143,000; Full time

Job summary

Ethereum Technologies in Piscataway, NJ is seeking an AI Architect to define target-state architecture for client AI programs and guide engineering teams from discovery and PoC to production-grade agentic solutions.

The role requires deep expertise in agentic system design, RAG/context engineering at scale, and hands-on with LangChain, LlamaIndex, OpenAI and other AI frameworks. Strong Python, Docker/Kubernetes, and LLMOps experience are essential.

Qualifications

• 12+ years in software engineering and AI architecture with 3+ years delivering GenAI/LLM solutions and at least two enterprise AI implementations in production.
• Own target-state architecture for client AI programs, set platform/model/governance direction, and guide teams from PoC to production-grade solutions.
• The role sits at the intersection of AI platform architecture, solution design, and business value, requiring clear ADRs and stakeholder communication.

Responsibilities

• Define how enterprise AI gets built and ensure architectures are scalable and secure.
• Own architecture decisions, document ADRs and reference architectures, and defend choices with business/technical stakeholders.
• Lead and mentor cross-functional AI and engineering teams across multiple engagements.

Skills

GenAI/LLM design

Enterprise AI architecture

Agentic system design

RAG & context engineering

LangChain/LangGraph

OpenAI/Anthropic APIs

Python engineering

Docker/Kubernetes

LLMOps/AgentOps

ADR/documentation

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen/Semantic Kernel

OpenAI API

Anthropic API

Hugging Face

MLflow

Arize

Job description

Ethereum Technologies in Piscataway, NJ is seeking an AI Architect to define target-state architecture for client AI programs and guide engineering teams from discovery and PoC to production-grade agentic solutions.

The role requires deep expertise in agentic system design, RAG/context engineering at scale, and hands-on with LangChain, LlamaIndex, OpenAI and other AI frameworks. Strong Python, Docker/Kubernetes, and LLMOps experience are essential.