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# AI Lead Architect - RAG & Python

- **Company:** Synechron Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Systems Integration, Google Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Agentic-AI, Fastapi, Kubernetes, Machine Learning Operations, Semantic Kernel, Automation Anywhere, Docker
- **Published:** October 2, 2026
- **Apply:** https://www.disabledperson.com/jobs/75660537-ai-lead-architect-rag-python

## About the Role

* Experienced in software engineering, architecture, data engineering, or machine learning.
 * 3+ years of hands-on experience delivering AI or Generative AI solutions.
 * Strong Python development experience.
 * Proven experience building and deploying RAG applications.
 * Knowledge of LLMs, embeddings, semantic search, vector databases, APIs, and cloud architecture.
 * Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
 * Familiarity with Docker, Kubernetes, CI/CD, databases, security, and automated testing

## Description

We are looking for a hands-on AI Lead Architect with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python, LLMs, cloud platforms, and enterprise technology architecture.

The role involves designing and delivering scalable AI solutions, building end-to-end RAG pipelines, integrating LLMs and vector databases, developing Python APIs and services, and deploying AI applications into production. The candidate will also establish AI governance, security, monitoring, evaluation, and LLMOps practices., * Lead the architecture and delivery of enterprise AI and Generative AI solutions.

 * Design and implement RAG pipelines, including ingestion, chunking, embeddings, retrieval, reranking, and response generation.
 * Develop production-grade Python applications, APIs, and AI workflows.
 * Work with LLMs, prompt engineering, AI agents, tool calling, and model evaluation.
 * Use cloud platforms such as AWS, Azure, or Google Cloud.
 * Implement Docker, Kubernetes, CI/CD, MLOps, and LLMOps practices.
 * Ensure AI solutions are secure, compliant, observable, scalable, and cost-effective.
 * Lead technical discussions, mentor engineering teams, and collaborate with business stakeholders.