AI/ML Principal Solution Architect

Ethereum Technologies; Fort Worth (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Ethereum Technologies in Fort Worth is seeking a Sr Eng 2 Architect to lead the technical architecture for the agentic AI platform. You will design and evolve multi-agent orchestration, tool-use frameworks, and LLM integration pipelines, setting patterns for reliability, observability, and guardrails at production scale.

You will mentor engineers, review designs, and collaborate with ML engineers and software teams to ensure scalable, secure, and maintainable components, while evaluating

Qualifications

• 10+ years software architecture experience.
• 3+ years designing AI/ML platform systems.
• Hands-on experience with LLM orchestration frameworks.
• Strong Python and at least one of Java/Go/TypeScript.

Responsibilities

• Define and evolve architecture for multi-agent orchestration systems.
• Establish patterns for reliability, observability, and guardrails at production scale.
• Lead design reviews and produce ADRs.
• Mentor engineers on best practices for production-grade AI systems.

Skills

Software architecture

AI/ML platform design

LLM orchestration frameworks

Python

Java/Go/TypeScript

Distributed systems

Microservices

API design REST/gRPC

Mentoring engineers

Tools

LangChain

LangGraph

Semantic Kernel

Tool-use frameworks

RAG pipelines

Job description

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

Description

As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, you will defineand drive the technical architecture for agentic AI platform. Day-to-dayresponsibilities include: designing and evolving the architecture formulti-agent orchestration systems, tool-use frameworks, and LLM integrationpipelines; establishing patterns for agent reliability, observability, and guardrailsat production scale; leading technical design reviews and producingarchitecture decision records (ADRs), collaborating with ML engineers andsoftware engineers to ensure platform components are scalable, secure, andmaintainable; evaluating and integrating emerging agentic AI frameworks (e.g.,LangGraph, CrewAI, Semantic Kernel, AutoGen); defining API contracts, data flowpatterns, and integration standards across the AI platform ecosystem; mentoringengineers on best practices for building production-grade AI systems.

1. 10+ years software architecture experience with at least 3 years designingAI/ML platform systems, including hands-on experience with LLM orchestrationframeworks (LangChain, LangGraph, Semantic Kernel, or similar).
2. Deep expertise in distributed systems design, microservices architecture,event-driven patterns, and API design (REST/gRPC), with strong proficiency inPython and at least one of Java/Go/TypeScript
3. Production experience building and deploying agentic AI systems orLLM-powered applications at scale, including prompt engineering, tool-usepatterns, RAG pipelines, and agent reliability/observability.

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.