Job Description – AI Architect

Job Title: AI Architect
Location: Atlanta, GA
Work Mode: Onsite
Position Type: Contract 
Eligibility: Local candidates only

Job Summary

We are looking for an experienced AI Architect to design and lead the implementation of scalable, secure, and enterprise-grade AI solutions. The ideal candidate will have strong experience in Generative AI, Machine Learning, LLMs, cloud platforms, AI architecture, and enterprise application integration.

Key Responsibilities

• Design and develop end-to-end AI/ML and Generative AI architectures for enterprise applications.
• Define technical strategies for LLM, NLP, Machine Learning, and AI-driven solutions.
• Architect solutions using Generative AI, RAG, embeddings, vector databases, and prompt engineering.
• Evaluate and integrate LLMs and AI frameworks into enterprise platforms.
• Design scalable AI solutions using AWS, Azure, or Google Cloud Platform.
• Develop secure and production-ready AI architectures with focus on performance, scalability, reliability, and governance.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Managers, and business stakeholders.
• Establish best practices around MLOps, LLMOps, model lifecycle management, monitoring, and responsible AI.
• Guide development teams in implementing AI solutions and provide technical leadership.
• Evaluate emerging AI technologies and recommend appropriate tools, frameworks, and platforms.
• Ensure AI solutions comply with enterprise security, privacy, regulatory, and governance requirements.

Required Skills

• 10+ years of overall IT/software engineering experience, with significant experience in AI/ML architecture.
• Strong experience designing AI/ML and Generative AI solutions.
• Hands-on experience with LLMs, RAG, Prompt Engineering, AI Agents, NLP, and embeddings.
• Strong programming experience in Python and/or Java.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Experience with Vector Databases such as Pinecone, FAISS, Weaviate, Milvus, or Azure AI Search.
• Strong knowledge of AWS, Azure, or Google Cloud Platform AI/ML services.
• Experience with REST APIs, microservices, Docker, Kubernetes, and cloud-native architectures.
• Strong understanding of MLOps/LLMOps, CI/CD, model deployment, monitoring, and observability.
• Experience with relational and NoSQL databases and modern data platforms.
• Excellent architecture, communication, leadership, and problem-solving skills.