We are looking for DOTNET AI Architect for our client in Orlando, FL.
Job Title: DOTNET AI Architect
Job Location: Orlando, FL
Job Type: Contract
Job Overview:
Pay Range: $47hr - $52hr
Requirement/Must Have:
- 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.) and 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.
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.
Nice to Have:
- 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.
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.
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Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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