Principal Solution Architect

Xforia Global Talent & Technology Solutions; Fort Worth, Arlington, Dallas (TX, TX, TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Xforia Global Talent & Technology Solutions is seeking a Principal Solution Architect to lead the ASL team and define the technical architecture for its agentic AI platform. You will shape multi-agent orchestration, tool-use frameworks, and LLM integration pipelines.

Day-to-day, you will guide design reviews, establish reliability patterns, and mentor engineers to build secure, scalable AI capabilities. Strong Python skills and experience with LangChain, LangGraph, Semantic Kernel, and

Qualifications

• 10+ years of software architecture experience with AI/ML platform systems.
• Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel).
• Production-grade API design, distributed systems, and multi‑agent patterns.

Responsibilities

• Design and evolve architecture for multi-agent orchestration systems and LLM integration pipelines.
• Establish patterns for reliability, observability, and guardrails at production scale.
• Lead design reviews and produce architecture decision records (ADRs).
• Collaborate with ML and software engineers to ensure scalable, secure platform components.
• Define API contracts, data flows, and integration standards across the AI platform.
• Mentor engineers on best practices for production‑grade AI systems.

Skills

Software architecture

AI/ML platform design

Python

LangChain / LangGraph / SemanticKernel

Tools

Kubernetes

REST / gRPC

LangChain

LLMOps tooling

Job description

Our client is seeking a Principal Solution Architect to join its Agentic System Layer (ASL) team and define and drive the technical architecture for its agentic AI platform.

As an Architect on the ASL team, you will define and drive the technical architecture for the client’s agentic AI platform. Day-to-day responsibilities include:

• Designing and evolving the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines
• Establishing patterns for agent reliability, observability, and guardrails at production scale
• Leading technical design reviews and producing architecture decision records (ADRs)
• Collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable
• Evaluating and integrating emerging agentic AI frameworks (e.g., LangGraph, CrewAI, Semantic Kernel, AutoGen)
• Defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem
• Mentoring engineers on best practices for building production‑grade AI systems

Top 3 Mandatory Skills and Experience

• 10+ years of 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

Nice to Have Skills

• Experience with Kubernetes/container orchestration
• MLOps/LLMOps tooling
• Vector databases (Pinecone, Weaviate, pgvector)
• Knowledge graphs
• TOGAF or similar architecture certification
• Experience with multi‑agent system design patterns and agent evaluation/benchmarking frameworks