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AI Architect

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: Alpha Associates Recruitment
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 270000 USD Yearly USD 180000.00 270000.00 YEAR
Job Description & How to Apply Below

Chicago | 5 days onsite | 50-60% US travel

I’m working with a company looking for a Principal AI Architect to own the end-to-end architecture of its enterprise AI platform and set the technical standard for how AI is built, deployed and governed at scale.

This is a genuinely hands-on architecture role, spanning ML, deep learning, computer vision, LLMs and agentic AI
.

What you’ll be doing :
  • Own enterprise AI platform architecture, reference architectures and technical standards
  • Design and build production AI systems across ML, CV, GenAI and LLMs
  • Architect RAG, agentic and multi-agent systems
  • Work with Lang Chain, Lang Graph, Semantic Kernel and modern foundation models
  • Establish MLOps/LLMOps, CI/CD, observability, evaluation and monitoring
  • Embed security, Responsible AI and governance into production systems
  • Partner with senior engineering, security, data and business leaders
  • Travel regularly to customer sites across the US
What we’re looking for:
  • 10+ years in software engineering / enterprise architecture
  • 5+ years architecting and deploying production AI/ML systems at enterprise scale
  • Strong depth across ML/DL, computer vision, LLMs and agentic AI
  • Proven enterprise cloud experience across AWS, Azure or GCP
  • Strong Python and modern AI/ML ecosystem experience
  • Experience with PyTorch/Tensor Flow, Hugging Face, Kubernetes, vector databases and AI orchestration frameworks
  • Strong understanding of AI security, governance and Responsible AI
  • Excellent communication skills, from hands-on engineering through to executive level

This is a high-impact opportunity for someone who wants to set the technical direction of enterprise AI rather than simply contribute to it.

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