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.NET AI Architect

TechDigital Corporation
  • Orlando, FL
  • Quick Apply
15 days ago

Job Description

Key Responsibilities
  • 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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

Numbers & Facts

LocationOrlando, FL
IndustryOther/Not Classified
Company Size100 to 499 employees

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