Remote GenAI Architect — End-to-End AI Platform Leader

Grey Chain; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Grey Chain AI is seeking an AI Tech Architect to own the technical architecture and client-facing delivery of GenAI solutions for global clients. This senior role requires transitioning from hands-on Python development to end-to-end system design, leading engineering teams, and engaging with client stakeholders on solution design and outcomes.

You will define the technical direction for AI platforms, guide developers, and act as the primary technical voice in client conversations—translating

Qualifications

• 9+ years of hands-on Python development with transition to architect-level ownership.
• Strong command of Python frameworks—FastAPI, Flask, Pydantic, SQLAlchemy.
• Proven architecture-level experience with LLMs and GenAI systems (OpenAI, Claude, Gemini).
• Hands-on expertise with agentic AI frameworks such as LangChain or LangGraph at design/architecture level.
• Working knowledge of Model Context Protocol (MCP) for integrating agents with external systems.
• Experience architecting multi-agent workflows, tool-calling systems, and prompt orchestration pipelines.
• Experience with RAG architectures and vector databases (Pinecone, Weaviate, Qdrant).
• Deep understanding of REST APIs, microservices, and cloud-native patterns.
• Track record delivering systems from prototype to production scale.

Responsibilities

• Own the end-to-end architecture of GenAI and agentic AI systems from design to production deployment.
• Lead architecture discussions with clients, presenting designs and translating requirements into technical roadmaps.
• Design multi-agent workflows, LLM pipelines, prompt orchestration, and tool-calling architectures for production use cases.
• Define technology stack and architectural standards for Python-based AI systems, APIs, and microservices.
• Lead and mentor development teams; conduct architecture reviews and establish engineering best practices.
• Inform build-vs-buy decisions and framework choices across GenAI ecosystems for scalable delivery.
• Ensure reliability, security, scalability, and observability of AI systems in production.
• Collaborate with product/delivery leaders to scope engagements and estimate technical effort for proposals.
• Stay ahead of GenAI trends and bring innovations into client solutions.

Skills

Python development

LLM / GenAI

LangChain

MCP

REST APIs

Cloud architecture

Team leadership

Vector databases

Tools

Pinecone

Job description

Grey Chain AI is seeking an AI Tech Architect to own the technical architecture and client-facing delivery of GenAI solutions for global clients. This senior role requires transitioning from hands-on Python development to end-to-end system design, leading engineering teams, and engaging with client stakeholders on solution design and outcomes.

You will define the technical direction for AI platforms, guide developers, and act as the primary technical voice in client conversations—translating