Gen AI & LLM consultant

Role: Gen AI & LLM consultant   (Agentic AI / Large Language Models / Azure OpenAI / RAG / Multi-Agent Systems / Python)
Location: Richardson, TX 75082 ( Remote / Hybrid | Face-to-Face Interview Mandatory)
Duration: Long term Contract 
Pay Rate: $ 58/hr on W2
Note : Only W2 Candidate.

Professional Job Description
#Position Overview
Seeking an enterprise-level — Gen AI & LLMs with 10+ years of progressive software architecture experience for a 12-month contract position in Richardson, TX 75082 (Face-to-Face Interview Mandatory). 
The ideal candidate will design, build, and deploy enterprise-scale Generative AI solutions with specialized mastery in Agentic AI, Large Language Models (LLMs), and Azure Cloud (Azure OpenAI). This architectural role requires deep technical expertise in defining scalable solution blueprints, building Retrieval-Augmented Generation (RAG) frameworks, orchestrating Multi-Agent Systems, and integrating foundation models (OpenAI, Claude, Gemini, Llama) with Python backend microservices.

#Key Responsibilities
Enterprise Gen AI & LLM Solution Architecture: Architect and deploy production-grade Generative AI applications, defining reference architectures and solution blueprints using Azure OpenAI, Anthropic Claude, Gemini, and Llama models.
Agentic AI & Multi-Agent Orchestration: Design, build, and optimize Agentic AI workflows, Autonomous Agents, Multi-Agent Systems, AI Assistants, and Knowledge Discovery platforms.
RAG & Knowledge Retrieval Systems: Implement advanced Retrieval-Augmented Generation (RAG) architectures, vector database integrations (e.g., Pinecone, Qdrant, ChromaDB, Azure AI Search), prompt engineering frameworks, and semantic caching.
Global Team Delivery & Proactive Technical Leadership: Drive solution development with onshore/offshore teams, deliver low-defect production releases as per schedule, and recommend proactive AI technical architecture improvements.
Python Microservices & Azure Cloud Infrastructure: Build secure, high-throughput Python API integrations, containerized microservices, and serverless Azure cloud deployments adhering to enterprise AI governance standards.

#Required Qualifications
 7 to 10  years of overall experience in IT systems architecture and software engineering.
Must-Have AI Tech Stack: Proven hands-on architecture experience with Agentic AI, Large Language Models (LLMs), and Azure / Azure OpenAI Services.
Core Technical Competencies: Demonstrated track record building RAG frameworks, Multi-Agent Systems, prompt engineering pipelines, and Python backend solutions.
Domain & Soft Skills: Healthcare industry experience is a major plus; exceptional communication skills required for onshore/offshore team coordination.
Interview & Work Setup: Face-to-Face (F2F) Interview Mandatory; Onsite/Hybrid commitment in Richardson, TX 75082.