Principal Solution Architect

HeartCentrix Solutions; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

HeartCentrix Solutions is seeking an experienced AI Solutions Architect to lead the design of an enterprise AI platform. You will craft scalable, production-ready architectures for agentic AI, LLM integrations, and AI services while mentoring teams and shaping technical standards.

You will define API/microservice patterns, drive architecture reviews, and collaborate with engineers to deliver secure, observable AI solutions across cloud platforms (AWS/Azure/GCP).

Qualifications

• 10+ years of software architecture and engineering experience.
• 3+ years designing AI/ML platforms or GenAI applications.
• Strong experience with Python and Java/Go/TypeScript.
• Experience with LLMs, Agentic AI, RAG, and orchestration frameworks.
• Expertise in distributed systems, microservices, REST/gRPC APIs, and cloud platforms (AWS, Azure, or GCP).

Responsibilities

• Design and evolve architectures for agentic AI platforms, LLM orchestration, and AI services.
• Define API, microservices, and event-driven architecture standards.
• Lead architecture reviews, technical decisions, and engineering best practices.
• Collaborate with software and ML engineers to build scalable, secure AI solutions.
• Evaluate emerging AI frameworks and improve platform reliability, observability, and performance.

Skills

AI Architecture

Agentic AI

LLMs

RAG

LangChain

LangGraph

Semantic Kernel

Python

Java

Go

TypeScript

Microservices

Distributed Systems

REST APIs

gRPC

Cloud Platforms

AWS

Azure

GCP

MLOps

Education

TOGAF certification

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

Pinecone

Weaviate

Job description

We're looking for an experienced AI Solutions Architect to lead the design and architecture of an enterprise AI platform. You'll define scalable, production-ready solutions for agentic AI systems, LLM integrations, and AI services while mentoring engineering teams and driving technical standards.

What You'll Do

• Design and evolve architectures for agentic AI platforms, LLM orchestration, and AI services.
• Define API, microservices, and event-driven architecture standards.
• Lead architecture reviews, technical decisions, and engineering best practices.
• Collaborate with software and ML engineers to build scalable, secure AI solutions.
• Evaluate emerging AI frameworks and improve platform reliability, observability, and performance.

What You'll Need

• 10+ years of software architecture and engineering experience.
• 3+ years designing AI/ML platforms or GenAI applications.
• Strong experience with Python and Java, Go, or TypeScript.
• Experience with LLMs, Agentic AI, RAG, prompt engineering, and orchestration frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen).
• Expertise in distributed systems, microservices, REST/gRPC APIs, and cloud platforms (AWS, Azure, or GCP).

Nice to Have

• Vector databases (Pinecone, Weaviate, pgvector).
• Knowledge graphs.
• TOGAF or other architecture certifications.

Key Skills: AI Architecture, Agentic AI, LLMs, RAG, LangChain, LangGraph, Semantic Kernel, Python, Microservices, Distributed Systems, Cloud Architecture, MLOps.