Lead AI/ML Architect for Enterprise Platforms & LLMs

Brillio-2; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Brillio-2 is seeking a Lead AI/ML Engineer to design, build, and operationalize enterprise-scale AI platforms using Azure OpenAI, agentic frameworks, and vector search. You will develop production-grade AI agents, implement RAG pipelines, and ensure observability and governance in production environments.

The role requires expertise in Python, ML frameworks, and AI security on Azure, with a focus on scalable, secure deployments and cross-functional collaboration.

Qualifications

• Requires hands-on experience with Azure AI services and Azure OpenAI.
• Expertise in agentic frameworks (Semantic Kernel, LangChain, LangGraph, AutoGen).
• Proficient in LLM development, prompt engineering, and RAG architectures.
• Experience with vector search, semantic ranking, and Azure AI Search.
• Strong integration skills with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform.
• Proficient in Python for AI/ML solutions.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
• Knowledge of AI security and governance on Azure.

Responsibilities

• Design, build, and deploy AI agents and multi-agent systems using Azure AI services.
• Develop agentic workflows integrating AI with Microsoft 365 and enterprise APIs.
• Implement enterprise RAG solutions for knowledge retrieval and decision-making.
• Build production-grade AI apps leveraging LLMs, RAG pipelines, and orchestration.
• Establish observability, guardrails, and responsible AI controls in production.
• Optimize latency, accuracy, reliability, and cost of AI/LLM applications.
• Collaborate with cross-functional teams to identify AI opportunities and prototype.
• Contribute to internal best practices on agent architecture, prompting, and evaluation.

Skills

Azure AI services

Agentic frameworks (Semantic Kernel, L

LLM development

RAG architectures

Python

ML frameworks (TensorFlow, PyTorch, Sc

AI workflow orchestration

Model evaluation & observability

AI security & governance on Azure

Microsoft 365 integration

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Certification in Machine Learning or Data Science

Certification in SAS/SPSS or similar statistics tools

Tools

Azure Functions

Azure Container Apps

Azure Kubernetes Service (AKS)

Azure Storage

R

R Studio

Job description

Brillio-2 is seeking a Lead AI/ML Engineer to design, build, and operationalize enterprise-scale AI platforms using Azure OpenAI, agentic frameworks, and vector search. You will develop production-grade AI agents, implement RAG pipelines, and ensure observability and governance in production environments.

The role requires expertise in Python, ML frameworks, and AI security on Azure, with a focus on scalable, secure deployments and cross-functional collaboration.