GenAI and Machine Learning Architect

• • • Candidates MUST BE local to Washington, DC, and be comfortable with the hybrid schedule. Role: GenAI and Machine Learning Engineer/Architect W2 Contract: 12 months Location: Hybrid in Washington, DC 20068 Overview Our client is seeking a GenAI & MLOps Engineer / Architect (Azure) to lead the design and implementation of cutting-edge AI solutions. This role focuses on building Azure-based GenAI applications, including RAG pipelines and sophisticated agentic AI systems. The successful candidate will be responsible for orchestrating multi-agent workflows and optimizing model deployment on high-performance NVIDIA GPU hardware to drive innovation and operational efficiency. Responsibilities • Design and implement Azure-based GenAI applications, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using foundation and multimodal Large Language Models (LLMs). • Build and orchestrate agentic AI and multi-agent workflows utilizing Azure AI Agent Service, Prompt Flow, or equivalent orchestration frameworks. • Optimize and deploy models on NVIDIA GPU hardware, specifically targeting A100 and H100 configurations. • Develop and maintain end-to-end MLOps and LLMOps pipelines to ensure seamless model registry, monitoring, and evaluation. • Collaborate with cross-functional teams to integrate AI capabilities into existing cloud architectures. Required Skills & Experience • 4 to 10+ years of experience in machine learning engineering, cloud engineering, data engineering, or software engineering. • Hands-on experience deploying LLM and GenAI applications within the Azure ecosystem. • Proven expertise in implementing end-to-end MLOps/LLMOps workflows, including CI/CD, model registry, monitoring, and evaluation frameworks. • Technical proficiency with Azure AI Foundry, Azure AI Agent Service, Azure AI Search, and Prompt Flow. • Strong experience with DevOps practices and GitHub Actions for automated deployment. • Excellent analytical and problem-solving skills with the ability to navigate complex AI architectures. • Strong communication skills and the ability to work effectively in a hybrid team environment. Preferred Skills & Experience • PhD Data Scientists/Machine Learning Engineers • Advanced Azure certifications, such as Azure AI Engineer Associate or Azure Solutions Architect Expert.