> Markdown version of [/jobs/ext/3455800-agentic-ai-architect](https://www.wearedevelopers.com/jobs/ext/3455800-agentic-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Architect - **Company:** Nityo Infotech Corporation - **Location:** Richardson, TX, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, DevOps, Middleware, Github, Language Modeling, Open Source Technology, Search Technologies, Systems Integration, TypeScript, Enterprise Search, Chatbots, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, AngularJS, Kubernetes, HuggingFace, Graphql, Data Management, Virtual Agents, Terraform, Jenkins - **Published:** September 2, 2026 - **Apply:** https://www.dice.com/job-detail/debdb910-e37d-487d-a47f-34adfa576ea6 ## About the Role * Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search Experience in workflow automation, document intelligence, and AI copilots Experience in planner-executor, reflection, multi-agent, and graph-based orchestration patterns. Experience in Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search) Experience in integrating GenAI with AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms. Preferred Skill and Experience * Exposure to open-source LLM ecosystems Hugging Face, PyTorch, LoRA, QLoRA, PEFT and models such as Llama, Mistral, Gemma, DeepSeek, and Falcon. Familiarity with multimodal AI, including vision-language models, speech and audio models, and image or video generation. Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front-end stacks (React, Angular, TypeScript, GraphQL) used in copilot interfaces.