Senior Azure AI Engineer & Cloud Architect

Patient First; Glen Allen (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health, Dental & Vision

Disability & Life Insurance

401k with match

Paid leave & holidays

Overtime & holiday pay

Employee discounts

Recruitment bonus

Job summary

Patient First seeks a Senior Azure AI Developer to design, develop, and deploy enterprise AI solutions on Microsoft Azure. You will integrate Azure AI services, LLMs, RAG, and vector tech into scalable cloud-native apps using C#, .NET, and ASP.NET Core.

The role emphasizes DevOps automation, IaC, Docker/Kubernetes, and collaboration with architects and stakeholders to advance business initiatives.

Qualifications

• Experience with Azure AI services, OpenAI, and cognitive services.
• 7+ years in software development and 5+ years on Azure.
• Proficient in C#, .NET, ASP.NET Core, and RESTful APIs.
• Experience building cloud-native AI solutions and DevOps practices.
• Knowledge of CI/CD, IaC, Docker, and Kubernetes.

Responsibilities

• Design, build, and deploy AI-powered applications on Azure.
• Develop cloud-native software with secure, scalable architecture.
• Lead DevOps automation and IaC implementation.
• Collaborate with stakeholders to define AI use cases and roadmaps.
• Mentor developers and enforce coding and governance standards.

Skills

Azure AI

C#

.NET

ASP.NET Core

REST APIs

LLMs & RAG

Semantic search

Vector databases

CI/CD

IaC

Docker

Kubernetes

Azure DevOps

GitHub

Cloud architecture

Security

Education

Bachelor’s degree in computer science, information systems, engineering, or related field

Tools

Azure DevOps

GitHub

Terraform

ARM templates

Bicep

Docker

Kubernetes

Azure Machine Learning

Job description

Patient First seeks a Senior Azure AI Developer to design, develop, and deploy enterprise AI solutions on Microsoft Azure. You will integrate Azure AI services, LLMs, RAG, and vector tech into scalable cloud-native apps using C#, .NET, and ASP.NET Core.

The role emphasizes DevOps automation, IaC, Docker/Kubernetes, and collaboration with architects and stakeholders to advance business initiatives.