Principal Enterprise AI Architect & Platform Leader

Applix; Peoria (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

Applix is seeking a Principal AI Architect to own the enterprise AI platform's end-to-end architecture, setting the technical standard for AI design, deployment, and governance across the company.

You will lead hands-on architecture and production systems spanning ML, DL, CV, and LLM workloads, partnering with engineering, security, risk, and business leaders to ensure scalable, secure, and responsible AI solutions at scale.

Qualifications

• 10+ years in software engineering/enterprise architecture; 5+ years deploying production AI/ML at scale.
• Deep AI stack: ML, DL, CV, and LLMs with enterprise focus.
• Experience with AWS/Azure/GCP integrations and API design.
• Secure, robust AI systems with Responsible AI and governance.
• Strong Python, PyTorch/TensorFlow, LangChain/LangGraph, vector DBs knowledge.
• Excellent communication from exec strategy to hands-on implementation.

Responsibilities

• Own end-to-end architecture of the enterprise AI platform and guardrails.
• Design and build production AI systems spanning ML, DL, CV, and LLM workloads.
• Architect agentic AI systems using LangChain/LangGraph and Semantic Kernel.
• Establish and mature model lifecycle: CI/CD, testing, monitoring, retraining.
• Ensure security, governance and Responsible AI compliance.

Skills

AI architecture

MLOps/LLMOps

Python

LangChain/LangGraph

Semantic Kernel

Vector databases

Kubernetes

PyTorch/TensorFlow

Cloud platforms

System design

Education

Bachelor's in Computer Science/Engineering/Data Science or related field

Tools

LangChain

LangGraph

Semantic Kernel

PyTorch

TensorFlow

Vector databases

Kubernetes

Job description

Applix is seeking a Principal AI Architect to own the enterprise AI platform's end-to-end architecture, setting the technical standard for AI design, deployment, and governance across the company.

You will lead hands-on architecture and production systems spanning ML, DL, CV, and LLM workloads, partnering with engineering, security, risk, and business leaders to ensure scalable, secure, and responsible AI solutions at scale.