AI architecture

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI architecture

Location : Piscataway , New Jersey

Duration: 12 Months + Extension

Bill Rate: $90/hour

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• 12+ years in software engineering, and AI architecture, with 3+ years designing and delivering GenAI/LLM solutions and at least two enterprise AI implementations taken to production.
• AI Architect to define how enterprise AI gets built — and built to last. You will own the target-state architecture for client AI programs, set the platform, model, and governance direction, and guide engineering teams from discovery and PoC through to secure, scalable, production-grade agentic solutions.
• The role sits at the intersection of AI platform architecture, solution design, and business value — best suited to a seasoned technologist who can make sound architectural trade-offs under ambiguity, still writes code when it matters, and is the trusted technical authority for client CXOs, enterprise architects, and delivery teams.

AI and agentic architecture

• Deep expertise in agentic system design — single and multi-agent orchestration, planning and reasoning strategies, tool/function calling, MCP, memory, guardrails, and human-in-the-loop patterns.
• Strong command of RAG and context engineering at scale: chunking and indexing strategy, embeddings, vector databases, hybrid and re-ranked retrieval, knowledge graphs, and retrieval evaluation.
• Hands-on with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen/Semantic Kernel or equivalent frameworks, plus OpenAI/Anthropic APIs, Hugging Face, and open-weight models.

Platform and engineering

• Strong Python engineering and API design (FastAPI or similar), microservices and event-driven integration patterns, and enterprise system integration.
• Production experience with Docker, Kubernetes (EKS/AKS/GKE), Terraform or equivalent IaC, CI/CD, and Git-based engineering practices.
• Proven LLMOps/AgentOps experience: evaluation frameworks, observability and tracing (e.g. LangSmith, Langfuse, Arize, MLflow), prompt/model lifecycle, and cost and latency optimisation.
• Architecture-level depth across frontier-model providers and hyperscaler AI platforms, with proven production depth in at least one
• Able to justify platform and model choices against client constraints — capability, context window, latency, cost per interaction, data residency, enterprise controls, and existing cloud commitments.
• Proven ability to own architecture decisions, document them clearly (ADRs, reference architectures, HLD/LLD), and defend them with business and technical stakeholders.
• Excellent communication and executive presence; able to hold a CXO room, an enterprise architecture board, and an engineering stand-up with equal credibility.
• Track record of leading and mentoring cross-functional AI and engineering teams across multiple concurrent engagements.

Good to have:

• Experience with modern data platforms and their GenAI surfaces (Databricks Mosaic AI, Snowflake Cortex, lakehouse patterns) and data governance tools.
• Certification as a cloud solutions architect or on a hyperscaler AI/ML track (AWS, Azure, or Google).
• Pre-sales, consulting, or forward-deployed engineering experience, including proposal and SoW ownership.
• Self-hosted / open-weight model deployment and optimisation (vLLM, Ollama, TGI, quantisation, GPU sizing) for strict data-boundary requirements.
• Familiarity with AI regulation and standards such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.