AI/ML Principal Solution Architect

MACHINE LEARNING TECHNOLOGIES LLC; Fort Worth (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Fort Worth, TX seeks an AI/ML Principal Solution Architect to define and drive the architecture for an agentic AI platform. You will shape multi-agent orchestration, LLM integration pipelines, and tooling patterns for reliability and observability.

You will lead design reviews, produce architecture decision records, and mentor engineers, while collaborating with ML and software teams to ensure scalable, secure, and maintainable platform components.

Qualifications

• 10+ years software architecture experience with AI/ML platform design.
• Deep expertise in distributed systems, microservices, event-driven patterns, and API design (REST/gRPC).
• Production experience building agentic AI systems or LLM-powered apps at scale, incl. prompt engineering, tool-use, RAG pipelines.

Responsibilities

• Define and drive architecture for multi-agent orchestration & LLM integration pipelines.
• Lead architecture reviews, ADRs, and patterns for observability and guardrails.
• Collaborate with ML/Software engineers to ensure scalable, secure platforms.

Skills

AI/ML platform architecture

LLM orchestration frameworks

Distributed systems design

API design REST/gRPC

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Job description

Job Details

• Job ID: J53503
• Job Title: AI/ML Principal Solution Architect
• Location: Fort Worth, TX
• Duration: 16 Months + Extension
• Domain Exposure: Media/ Entertainment
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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 guardrailset 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.

Responsibilities & Requirements

• 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).
• 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
• Production experience building and deploying agentic AI systems orLLM-powered applications at scale, including prompt engineering, tool-usepatterns, RAG pipelines, and agent reliability/observability.

Equal Opportunity Employer

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.