Principal AI/ML Platform Architect for Multi-Agent Systems

Valiant Technologies LLC

Fort Worth (TX)

On-site

USD 150,000 - 210,000

Full time

2 hours ago
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Job summary

Valiant Technologies LLC seeks a Senior Engineer 2 Architect to define and drive the technical architecture for an agentic AI platform. You will lead architectural decisions and design reviews across multi-agent orchestration, tool-use frameworks, and LLM integration pipelines.

You will collaborate with ML and software engineers to ensure scalable, secure, and maintainable components while mentoring teammates on production-grade AI practices.

Qualifications

  • 10+ years software architecture experience with at least 3 years designing AI/ML platform systems, including hands-on experience with LLM orchestration frameworks (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 in Python and at least one of Java/Go/TypeScript.
  • Production experience building and deploying agentic AI systems or LLM-powered applications at scale, including prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability.

Responsibilities

  • Define and drive the technical architecture for agentic AI platform.
  • Lead technical design reviews and produce architecture decision records (ADRs).
  • Mentor engineers on best practices for building production-grade AI systems.

Skills

Software architecture
LLM orchestration
Python
Java/Go/TypeScript
Production AI systems

Job description

Valiant Technologies LLC seeks a Senior Engineer 2 Architect to define and drive the technical architecture for an agentic AI platform. You will lead architectural decisions and design reviews across multi-agent orchestration, tool-use frameworks, and LLM integration pipelines.

You will collaborate with ML and software engineers to ensure scalable, secure, and maintainable components while mentoring teammates on production-grade AI practices.

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