What are the responsibilities and job description for the AI Architect position at Cloud Data Vision LLC?
AI Architect
Location: Atlanta, GA
Job Type: Contract
Job Summary
We are looking for an experienced AI Architect to lead the design and development of scalable AI and Generative AI solutions for enterprise applications. The ideal candidate will have strong experience in AI/ML, GenAI, LLMs, cloud architecture, and enterprise integration, along with the ability to work closely with business and technical teams.
Key Responsibilities
Design end-to-end AI and Generative AI solutions that are scalable, secure, and production-ready.
Define architecture for LLM, RAG, AI agents, machine learning, and intelligent automation use cases.
Work with cloud platforms such as AWS, Azure, or Google Cloud Platform to build and deploy AI solutions.
Evaluate and recommend appropriate LLMs, AI frameworks, vector databases, and supporting technologies.
Design integrations with enterprise applications, APIs, data platforms, and third-party systems.
Establish best practices for AI security, governance, data privacy, responsible AI, and model performance.
Work with engineering, data, product, and business teams to translate requirements into practical AI solutions.
Lead technical design reviews, architecture discussions, POCs, and production implementations.
Provide technical guidance and mentoring to AI/ML engineers and development teams.
Monitor emerging AI technologies and identify opportunities to improve business processes through AI.
Required Skills
8 years of experience in software, cloud, data, or solution architecture.
Strong hands-on experience with AI/ML and Generative AI solutions.
Experience with LLMs, RAG, prompt engineering, embeddings, vector databases, and AI agents.
Strong knowledge of AWS, Azure, or Google Cloud.
Experience with Python and modern AI/ML frameworks.
Good understanding of APIs, microservices, cloud-native architecture, and data integration.
Experience with MLOps, CI/CD, containers, and production AI deployment.
Strong understanding of AI security, governance, privacy, and responsible AI practices.
Excellent communication and stakeholder-management skills.
Preferred
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
Experience with platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, or similar LLM services.
Experience with Pinecone, Weaviate, FAISS, PostgreSQL/pgvector, or Azure AI Search.
Experience designing enterprise-scale AI platforms and modernization initiatives.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.