TC
.NET AI Architect
TechDigital Corporation
🇺🇸 United States
On-site
2 months ago
- AI
- Large Language Models
- .NET
- C#
- Java
- RAG
- Vector Search
- Object Oriented Programming
- PostgreSQL
- Oracle
- MongoDB
- Cosmos DB
- DynamoDB
- REST API
- Microservices
- Azure AI
- Azure OpenAI
- AWS
- AI/ML
- GCP
- Agile
- Scrum
- Devops
- CI/CD
- Azure
- Git
- GitHub
- Azure DevOps
2 months ago
- Design, develop, and deploy AI-enabled applications and intelligent automation solutions.
- Build and optimize applications that leverage Large Language Models (LLMs) and agentic AI workflows.
- Develop scalable backend services and APIs using .NET/C# (preferred) or Java.
- Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge-driven AI solutions.
- Integrate structured and unstructured data sources, including document repositories and enterprise content systems.
- Work with relational and non-relational databases to support AI and analytics-driven applications.
- Develop and maintain document processing, vector search, and knowledge retrieval capabilities.
- Collaborate with data, analytics, and business teams to identify automation opportunities and AI use cases.
- Create technical solution designs, architecture documentation, and implementation plans.
- Ensure scalability, security, performance, and governance standards are incorporated into all solutions.
- Evaluate emerging AI technologies and recommend best practices for enterprise adoption.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
- 5+ years of software development experience.
- Hands-on experience working with Large Language Models (LLMs) and AI application development.
- Experience designing and implementing agentic AI workflows and intelligent automation solutions.
- Strong object-oriented programming skills.
- Proficiency in C#/.NET (preferred) or Java.
- Solid understanding of software architecture, design patterns, and application development best practices.
- Experience with both: Relational databases (SQL Server, PostgreSQL, Oracle, etc.)
- Non-relational/document databases (MongoDB, Cosmos DB, DynamoDB, etc.)
- Understanding of Retrieval-Augmented Generation (RAG) concepts and architectures.
- Experience working with unstructured data, document repositories, and content processing solutions.
- Knowledge of REST APIs, microservices, and cloud-based application development.
- Strong analytical, troubleshooting, and problem-solving abilities.
- Experience with Azure AI, Azure OpenAI, AWS AI/ML, or Google Cloud AI services.
- Familiarity with vector databases and semantic search technologies.
- Experience with prompt engineering, model orchestration frameworks, and AI agents.
- Exposure to data engineering, analytics, and business intelligence solutions.
- Experience working in Agile/Scrum environments.
- Knowledge of enterprise integration patterns and automation platforms.
- Experience with DevOps practices, CI/CD pipelines, and cloud-native architectures.
Technical Skills
- AI & Automation
- Large Language Models (LLMs)
- Agentic AI Frameworks
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Semantic Search & Knowledge Retrieval
- Intelligent Automation
- Development
- C# / .NET (Preferred)
- Java
- Object-Oriented Design
- REST APIs
- Microservices Architecture
- Data Platforms
- SQL Server, PostgreSQL, Oracle
- MongoDB, Cosmos DB, DynamoDB
- Document Databases
- Unstructured Data Processing
- Data Analytics Platforms
- Cloud & Tools
- Microsoft Azure (Preferred)
- Azure OpenAI Services
- Git/GitHub/Azure DevOps
- CI/CD Pipelines
- Agile Development Practices
.NET AI Architect · TechDigital Corporation