Applied AI Architect

Veriipro; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Veriipro is seeking an Applied AI Architect to lead the design, development, and production deployment of AI/ML solutions. The role emphasizes hands-on expertise with Databricks, Azure AI Foundry, LLMs, RAG, and multi-agent workflows across engineering and business teams.

You will define scalable architectures, establish best practices for evaluation, monitoring, and CI/CD, and deliver reusable accelerators, templates, and reference implementations to accelerate AI adoption.

Qualifications

• Strong hands-on AI/ML development and production deployment.
• Experience with Databricks, MLflow, Unity Catalog, Delta Lake, and model serving.
• Experience with Azure AI Foundry and modern AI/ML platforms.
• Strong knowledge of RAG and LLM application architecture.
• Experience building multi-agent systems and workflows.
• Experience with MCP/tool calling and frameworks such as LangGraph, Semantic Kernel, or OpenAI Agents SDK.
• Strong Python development skills for production AI/ML applications.
• Experience with CI/CD, MLOps, and AIOps.

Responsibilities

• Define and implement AI/ML architecture and solutions.
• Work closely with engineering and business teams to build and deploy AI models.
• Design and develop LLM, RAG, and multi-agent solutions.
• Establish best practices for AI evaluation, deployment, monitoring, and production support.
• Improve and standardize applied AI delivery patterns.
• Accelerate AI adoption through reusable components, templates, and reference architectures.
• Provide technical leadership and guidance to AI/ML engineering teams.

Skills

AI/ML architecture

Production deployment

Databricks

MLflow

Azure AI Foundry

LLM applications

RAG

Multi-agent systems

Python

CI/CD / MLOps

Tools

LangGraph

Semantic Kernel

OpenAI Agents SDK

Unity Catalog

Delta Lake

MCP/tool calling

AIOps

Job description

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems.

Must-Have Technical Skills

• Strong hands-on experience in AI/ML development and production deployment.
• Experience with Databricks, MLflow, Unity Catalog, Delta Lake, and model serving.
• Experience with Azure AI Foundry and modern AI/ML platforms.
• Strong knowledge of RAG and LLM application architecture.
• Experience building multi-agent systems and workflows.
• Experience with MCP/tool calling and frameworks such as LangGraph, Semantic Kernel, or OpenAI Agents SDK.
• Strong Python development skills for production AI/ML applications.
• Experience with CI/CD, MLOps, and AIOps.
• Knowledge of LLM/RAG/agent evaluation, observability, tracing, and monitoring.
• Experience with production debugging and performance optimization.
• Ability to create reusable AI accelerators, templates, skills, and reference implementations.

Roles & Responsibilities

• Define and implement AI/ML architecture and solutions.
• Work closely with engineering and business teams to build and deploy AI models.
• Design and develop LLM, RAG, and multi-agent solutions.
• Establish best practices for AI evaluation, deployment, monitoring, and production support.
• Improve and standardize applied AI delivery patterns.
• Accelerate AI adoption through reusable components, templates, and reference architectures.
• Provide technical leadership and guidance to AI/ML engineering teams.