GenAI Architect (Application Side)

The ideal candidate will have strong expertise in Large Language Models (LLMs), AI application architecture, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-native application development. This role focuses on building scalable, secure, and production-ready GenAI solutions that integrate with enterprise applications and business workflows.

GenAI Architect (Application Side)
Location: Atlanta, GA onsite
Duration: 5-6 months contract to hire

Position Summary

We are seeking an experienced GenAI Architect (Application Side) to lead the design, architecture, and implementation of enterprise-grade Generative AI applications. The ideal candidate will have strong expertise in Large Language Models (LLMs), AI application architecture, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-native application development. This role focuses on building scalable, secure, and production-ready GenAI solutions that integrate with enterprise applications and business workflows.

Key Responsibilities

• Design end-to-end architecture for Generative AI applications using LLMs and modern AI frameworks.
• Lead the development of AI-powered applications, chatbots, copilots, virtual assistants, and intelligent automation solutions.
• Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
• Design multi-agent AI systems using frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Integrate foundation models from OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, or open-source LLMs.
• Define scalable application architecture using microservices, REST APIs, event-driven patterns, and cloud-native technologies.
• Develop secure AI solutions with authentication, authorization, data privacy, content filtering, and responsible AI practices.
• Collaborate with product owners, business stakeholders, UX designers, and engineering teams to translate business requirements into AI solutions.
• Establish AI governance, observability, monitoring, evaluation, and model performance metrics.
• Optimize application performance, latency, token consumption, and operational costs.
• Mentor engineering teams on GenAI best practices, design patterns, and enterprise architecture.
• Create architecture documentation, technical standards, reusable components, and reference implementations.
• Stay current with emerging GenAI technologies, frameworks, and industry trends.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 10+ years of software engineering or solution architecture experience.
• 3+ years of hands-on experience building Generative AI applications in production.
• Strong understanding of Large Language Models (LLMs), transformers, embeddings, and prompt engineering.
• Experience designing enterprise-scale AI application architectures.
• Proficiency in Python and at least one additional programming language such as Java, C#, or JavaScript/TypeScript.
• Strong experience with REST APIs, microservices, distributed systems, and cloud-native development.
• Experience integrating AI solutions with enterprise applications, APIs, and databases.
• Knowledge of software architecture principles including scalability, reliability, resiliency, and security.

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.