Senior .NET Azure AI Developer - Baltimore, MD

Accenture Federal Services•Baltimore, MD

1d•Onsite

About The Position

At Accenture Federal Services, our mission is to strengthen and secure the nation, and improve lives through technology and ingenuity. We serve clients across defense, national security, public safety, civilian, and military health organizations. As a technology company within global Accenture, we are recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive community where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change for government missions.

Requirements

US Citizen or Dual citizen (Public Trust eligible)
10+ years professional experience
Deep expertise in C# and .NET framework, including modern language features.
Strong experience working with Microsoft Azure services (App Services, Azure Functions, Blob Storage, SQL/Cosmos DB).
Solid understanding of AI/Machine Learning concepts and ability to work with Azure OpenAI, Azure ML, or Cognitive Services.
Experience developing and maintaining RESTful APIs.
Strong SQL skills, including performance optimization and database design.
Experience with modern DevOps practices, CI/CD, and automation using Azure DevOps.
Working knowledge of Docker for containerization.
Familiarity with Infrastructure as Code using Bicep.

Nice To Haves

Bachelors degree highly desired.
Experience with Python or Node.js for development, data processing, or AI‑related tasks.
Background with modern front‑end frameworks such as Angular or React.
Experience with Kubernetes, Terraform, or similar container orchestration and infrastructure‑management tools.
Work experience with both relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB)
Familiarity with Agile methodologies such as Scrum or Kanban, and experience debugging complex systems.
Microsoft Azure certification

Responsibilities

Design, develop, and maintain robust, scalable applications using .NET and ASP.NET Core
Implement and manage solutions on the Azure platform, including deployment, monitoring, and scaling.
Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services.
Develop and secure RESTful APIs for application integration.
Apply DevOps best practices using Azure DevOps for CI/CD pipelines, Git‑based version control, and automated testing.
Create and maintain Infrastructure‑as‑Code using Bicep for Azure resource provisioning and management.
Collaborate with cross‑functional teams to define, design, and deliver new features.