Azure AI Architect & MLOps Engineer

Modirum Platforms; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Modirum Platforms seeks an AI Platform Engineer to architect and deploy AI services on Microsoft Azure, build and fine-tune models, and implement MLOps for deployment, monitoring, and governance. You will integrate AI into enterprise workflows via APIs and event-driven patterns.

You will optimize prompts, retrieval, and orchestration for relevance and safety while ensuring compliance, security, and performance across the solution lifecycle.

Qualifications

• Experience with Azure AI and Azure ML
• Strong Python or C# skills
• Solid understanding of ML concepts including data prep, feature engineering, evaluation, and drift monitoring
• Familiarity with RAG patterns, embeddings, and vector databases
• Cloud architecture knowledge including CI/CD, IaC, and observability
• Ability to communicate clearly with technical and non-technical stakeholders

Responsibilities

• Architect and deploy AI services on Microsoft Azure
• Build and fine-tune models and implement MLOps for deployment, monitoring, and governance
• Integrate AI into enterprise workflows using APIs and event-driven patterns
• Optimize prompts, retrieval, and orchestration for relevance and safety
• Ensure compliance, security, and performance across the solution lifecycle

Skills

Azure AI

Python

C#

ML concepts

Data prep

Feature engineering

Drift monitoring

RAG patterns

Embeddings

Vector databases

CI/CD

IaC

Observability

APIs

Event-driven

Stakeholder communication

Tools

Azure AI

Azure ML

Vector databases

Retrieval augmented generation

Embeddings

CI/CD tooling

IaC

Observability

Job description

Modirum Platforms seeks an AI Platform Engineer to architect and deploy AI services on Microsoft Azure, build and fine-tune models, and implement MLOps for deployment, monitoring, and governance. You will integrate AI into enterprise workflows via APIs and event-driven patterns.

You will optimize prompts, retrieval, and orchestration for relevance and safety while ensuring compliance, security, and performance across the solution lifecycle.