AI/ML Principal Solution Architect

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

Job summary

Machine Learning Technologies, LLC is seeking a Sr Eng 2 Architect for the Agentic System Layer. You will define and evolve the architecture for multi-agent orchestration, tool-use frameworks, and LLM integration pipelines.

You will lead design reviews, ADRs, and establish patterns for reliability, observability, and guardrails at production scale. Collaboration with ML and software engineers ensures scalable, secure, and maintainable platform components.

Qualifications

• 10+ years of software architecture experience, with 3+ years in AI/ML platform design.
• Hands-on work with LLM orchestration frameworks or similar tooling.
• Production experience delivering agentic AI or LLM-powered systems at scale.

Responsibilities

• Define and drive the architecture for multi-agent orchestration systems and LLM integration pipelines.
• Establish patterns for reliability, observability, and guardrails at production scale; lead ADRs and design reviews.
• Collaborate with ML and software engineers to ensure scalable, secure, and maintainable platform components.

Skills

Software architecture

AI/ML platforms

LLM orchestration

Job description

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.