*** 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.
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