Principal AI Architect (W2 only)

Logix Guru; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Logix Guru is seeking an experienced Senior AI Architect to lead enterprise AI strategy, architecture, and implementation. The role demands designing scalable AI solutions, aligning AI initiatives with business objectives, and establishing governance, security, and best practices across the AI lifecycle.

Responsibilities include defining enterprise AI architecture, standards, and governance; designing solutions with LLMs, RAG, embeddings, and AI agents; and delivering platforms on Azure Foundry,

Qualifications

• 10+ years of IT experience with AI/ML and enterprise architecture.
• Hands-on with LLMs, RAG, embeddings, vector databases, AI agents, and AI observability.
• Proficiency in Python and at least one of C#, Java, or .NET.
• Strong knowledge of Azure AI services, cloud platforms, and AI governance.
• Excellent stakeholder management and executive communication skills.

Responsibilities

• Define enterprise AI architecture, governance, and engineering standards.
• Design AI solutions using LLMs, RAG, vector databases, embeddings, AI agents, and fine-tuning.
• Collaborate across business, data science, security, and engineering from use case definition through deployment and monitoring.
• Develop AI platform architectures on Azure AI Foundry, Azure, or hybrid cloud environments.
• Ensure AI solutions meet security, compliance, and governance requirements for PHI/PII data.
• Lead AI model selection, deployment, performance optimization, and operational monitoring.
• Present AI strategies and architecture recommendations to executive leadership.

Skills

AI/ML

Cloud architecture

Data platforms

Enterprise architecture

LLMs

RAG

Embeddings

Vector databases

AI agents

AI observability

Azure AI services

Python

C#

Java

.NET

Stakeholder mgmt

Executive communication

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Seeking an experienced Senior AI Architect to lead enterprise AI strategy, architecture, and implementation. The ideal candidate will design scalable AI solutions, align AI initiatives with business objectives, and establish governance, security, and best practices across the AI lifecycle.

Key Responsibilities:

• Define enterprise AI architecture, governance, and engineering standards.
• Design AI solutions using LLMs, RAG, vector databases, embeddings, AI agents, and fine-tuning.
• Collaborate with business, data science, security, and engineering teams from use case definition through deployment and monitoring.
• Develop AI platform architectures on Azure AI Foundry, Azure, or hybrid cloud environments.
• Ensure AI solutions meet security, compliance, and governance requirements for PHI/PII data.
• Lead AI model selection, deployment, performance optimization, and operational monitoring.
• Present AI strategies and architecture recommendations to executive leadership.

Required Qualifications:

• 10+ years of IT experience with strong expertise in AI/ML, cloud architecture, data platforms, and enterprise solution architecture.
• Hands-on experience with LLMs, RAG, embeddings, vector databases, AI agents, and AI observability.
• Strong knowledge of Azure AI services, cloud platforms, and AI governance.
• Programming experience in Python and one or more of C#, Java, or .NET.
• Excellent stakeholder management and executive communication skills.

Preferred Qualifications:

• Experience with PyTorch, TensorFlow, Hugging Face, and NLP/Generative AI frameworks.
• Experience presenting AI strategy to CIO/CDO-level leadership.