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.NET AI Architect

TechDigital Corporation

Orlando, FL

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Intelligence, Business Solutions, Cloud Applications, Cloud Architecture, Cloud Computing, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Processing, Design Patterns Programming Methodologies, DevOps, Documentation Plan, Emerging Technology, Git, GitHub, Identify Issues, Information Retrieval, Information Technology & Information Systems, Java, Microservices, Microsoft .NET, Microsoft C# (C Sharp), Microsoft SQL Server, Microsoft Windows Azure, Modeling Languages, MongoDB, Object Oriented Design (OOD), Object Oriented Programming (OOP), Oracle, PostgreSQL, Problem Solving Skills, REST (Representational State Transfer), Relational Databases (RDBMS), Scalable System Development, Scrum Project Management and Software Development, Search Technology, Semantic Search, Software Architecture Design, Software Development, Structured Data, Technical/Engineering Design, Unstructured Data, Use Cases
LOCATION
Orlando, FL
POSTED
Today
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

About the Company

T

TechDigital Corporation

COMPANY SIZE
100 to 499 employees
INDUSTRY
Other/Not Classified